Thebloke huggingface --local-dir-use-symlinks False TheBloke's LLM work is generously supported by a grant from andreessen horowitz (a16z) Bigcode's Starcoder GPTQ These files are GPTQ 4bit model files for Bigcode's Starcoder . Model Details Trained by: Cole Hunter & Ariel Lee; Model type: Platypus2-13B is an auto-regressive language model based on the LLaMA2 MPT models can also be served efficiently with both standard HuggingFace pipelines and NVIDIA's FasterTransformer. How to run in llama. from_pretrained Huggingface Text Generation Inference (TGI) is not yet compatible with AWQ, but a PR is open which should bring support soon: TGI PR #781. The remainder of this README is copied from llama-13b-HF. To download from a specific branch, enter for example TheBloke/Llama-2-7B-GPTQ:main; see Provided Files above for the list of branches for each option. cpp. --local-dir-use-symlinks False How to download, including from branches In text-generation-webui To download from the main branch, enter TheBloke/law-LLM-GPTQ in the "Download model" box. We’re on a journey to advance and democratize artificial intelligence through open source and open science. We adhere to the approach outlined in previous studies by generating 20 samples for each problem to estimate the pass@1 score and evaluate with the same code. 5 Mistral 7B Description This repo contains GGUF format model files for Argilla's CapyBaraHermes 2. ai team! I've had a lot of people ask if they can contribute. Thanks, and how to contribute Thanks to the chirper. --local-dir-use-symlinks False More advanced huggingface-cli download usage Tim Dettmers' Guanaco 13B fp16 HF These files are fp16 HF model files for Tim Dettmers' Guanaco 13B. pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Kunoichi-7B-GGUF kunoichi-7b. co/TheBloke. About AWQ AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization. 2-70b. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead. To download from a specific branch, enter for example TheBloke/Llama-2-7b-Chat-GPTQ:gptq-4bit-64g-actorder_True; see Provided Files above for the pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/SOLAR-10. 1 Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download I recommend using the huggingface-hub Python library: pip3 install huggingface-hub>=0. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/TinyLlama-1. Models; Datasets; Spaces; Posts; Docs; Enterprise; Pricing Log In Sign Up lmsys / vicuna-13b-v1. 7B-v1. pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Mixtral_7Bx2_MoE-GGUF I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/storytime-13B-GGUF storytime-13b. OpenAssistant Conversations Dataset (OASST1), a human-generated, human-annotated assistant-style conversation corpus consisting of 161,443 messages distributed across 66,497 conversation trees, in 35 different languages; GPT4All Prompt Generations, a dataset of 400k Model creator: Hugging Face H4; Original model: Zephyr 7B Alpha; Description This repo contains AWQ model files for Hugging Face H4's Zephyr 7B Alpha. 3-GGUF tinyllama-1. ai team! LlamaTokenizer # Hugging Face model_path model_path = 'psmathur/orca_mini_3b' tokenizer = LlamaTokenizer. This is the repository for the 70B pretrained model, converted for the Hugging Face Transformers format. Please see below for a list of tools known to work with these model files. --local-dir-use-symlinks False I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Yi-34B-Chat-GGUF yi-34b-chat. Multi-user inference server: Hugging Face Text Generation Inference (TGI) Use TGI version 1. cpp Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. --local-dir-use-symlinks False We use state-of-the-art Language Model Evaluation Harness to run the benchmark tests above, using the same version as the HuggingFace LLM Leaderboard. To download from a specific branch, enter for example TheBloke/tulu-30B-GPTQ:main; see Provided Files above for the list of branches for each option. Follow. To download from another branch, add :branchname to the end of the download name, eg TheBloke/law-LLM-GPTQ:gptq-4-32g-actorder_True. Quantisations will be coming shortly. To download from another branch, add :branchname to the end of the download name, eg TheBloke/Mythalion-Kimiko-v2 As of September 25th 2023, preliminary Llama-only AWQ support has also been added to Huggingface Text Generation Inference (TGI). ai team! LlamaTokenizer # Hugging Face model_path model_path = 'psmathur/orca_mini_13b' tokenizer = LlamaTokenizer. ai team! TheBloke's LLM work is generously supported by a grant from andreessen horowitz (a16z) Open BMB's UltraLM 13B fp16 These files are pytorch format fp16 model files for Open BMB's UltraLM 13B . 5-13B-GPTQ:gptq-4bit-32g-actorder_True. --local-dir-use-symlinks False pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Falcon-180B-Chat-GGUF falcon-180b-chat. To download from another branch, add :branchname to the end of the download name, eg TheBloke/Mistral-7B-v0. -- license: other pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Mixtral-8x7B-v0. StableBeluga2 - GPTQ Model creator: Stability AI Original model: StableBeluga2 Description This repo contains GPTQ model files for Stability AI's StableBeluga2. To download from another branch, add :branchname to the end of the download name, eg TheBloke/EstopianMaid-13B-GPTQ:gptq-4bit-32g-actorder_True. From the command line I recommend using the huggingface-hub Python library: pip3 install huggingface-hub To download from the main branch, enter TheBloke/Mythalion-Kimiko-v2-GPTQ in the "Download model" box. --local-dir-use-symlinks False Name Quant method Bits Size Max RAM required Use case; laser-dolphin-mixtral-2x7b-dpo. Use and Limitations Hugging Face. From the command I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/LLaMA-7b-GGUF llama-7b. Discord For further support, and discussions on these models and AI in general, join us at: TheBloke AI's Discord server. 13B BlueMethod - GPTQ Model creator: Caldera AI Original model: 13B BlueMethod Description This repo contains GPTQ model files for CalderaAI's 13B BlueMethod. I recommend using the huggingface-hub Python library: pip3 install huggingface-hub>=0. Note: The above table conducts a comprehensive comparison of our WizardCoder with other models on the HumanEval and MBPP benchmarks. TheBloke AI's Discord server. --local-dir-use-symlinks False Datasets used to train TheBloke/tulu-13B-GGML databricks/databricks-dolly-15k Viewer • Updated Jun 30, 2023 • 15k • 13. Click Download. 1 Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Huginn-13B-v4. To download from another branch, add :branchname to the end of the download name, eg TheBloke/LLaMA2-13B-Tiefighter-GPTQ:gptq-4bit-32g-actorder_True. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) CapyBaraHermes 2. 1 Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/MythoLogic-Mini-7B-GGUF mythologic-mini-7b. Especially good for story telling. To download from a specific branch, enter for example TheBloke/Falcon-180B-GPTQ:gptq-3bit-128g-actorder_True; see Provided Files above for the list of branches for each option. 1 Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Athena-v1-GGUF athena-v1. py into your working directory and call the exported function replace_llama_rope_with_scaled_rope at the very start Under Download custom model or LoRA, enter TheBloke/Nous-Hermes-13B-SuperHOT-8K-GPTQ. Under Download custom model or LoRA, enter TheBloke/vicuna-13B-v1. Models; Datasets; Spaces; Posts; Docs; Super-blocks with 16 blocks, each block having 16 weights. Llama2 70b Guanaco QLoRA - fp16 Model creator: Mikael110 Original model: Llama2 70b Guanaco QLoRA Mikael110's Llama2 70b Guanaco QLoRA fp16 These files are pytorch format fp16 model files for Mikael110's Llama2 70b Guanaco QLoRA. Thanks to the chirper. --local-dir-use-symlinks False More advanced huggingface-cli download usage I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/llemma_7b-GGUF llemma_7b. 1-GPTQ. Models; Datasets; Spaces; Posts; Docs; Solutions Pricing Log In Sign Up TheBloke 's Collections. 24 GB: smallest, significant quality loss - not recommended for most purposes Under Download custom model or LoRA, enter TheBloke/Kimiko-13B-GPTQ. Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. TheBloke/Goliath-longLORA-120b-rope8-32k-fp16-GGUF. Thanks to our most esteemed model trainer, Mr TheBloke, we now have versions of Manticore, Nous Hermes (!!), WizardLM and so on, all with SuperHOT 8k context LoRA. q4_K_M. , 2021); Bias: LayerNorm bias terms only; Training StableCode-Instruct-Alpha-3B is the instruction finetuned version on StableCode-Completion-Alpha-3B with code instruction datasets. 9k • 761 How to download, including from branches In text-generation-webui To download from the main branch, enter TheBloke/Mixtral-8x7B-Instruct-v0. 5 Mistral 7B. To download from a specific branch, enter for example TheBloke/OpenBuddy-Llama2-13B-v11. 5. from_pretrained pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/KafkaLM-70B-German-V0. From the command Under Download custom model or LoRA, enter TheBloke/Llama-2-7B-GPTQ. 1-GGUF mixtral-8x7b-v0. From the command line I recommend using the huggingface-hub Python library: pip3 install huggingface-hub The monkeypatch is only necessary if you are using a front-end/back-end that does not already support scaling and said front-end/back-end is Python-based (i. Q4_K_M. --local-dir-use-symlinks False Decoder Layer: Parallel Attention and MLP residuals with a single input LayerNorm (Wang & Komatsuzaki, 2021); Position Embeddings: Rotary Position Embeddings (Su et al. An Some simple scripts that I use day-to-day when working with LLMs and Huggingface Hub For months, theBloke has been diligently quantizing models and making them Now that Mistral AI's Mixtral 8x7b is available in Hugging Face Transformers, you might be Many people have already noticed their inactivity on huggingface, but yesterday I was reading GGUF is a new format introduced by the llama. To download from a specific branch, enter for example TheBloke/Chronoboros-33B-GPTQ:main; see Provided Files above for the list of branches for each option. I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/vicuna-33B-GGUF vicuna-33b. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) We’re on a journey to advance and democratize artificial intelligence through open source and open science. 1-GPTQ:main; see Provided Files above for the list of branches for each option. 5-1210-GGUF openchat-3. The size of MPT-30B was also specifically chosen to make it easy to deploy on a single GPU—either 1xA100-80GB in 16-bit pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Wizard-Vicuna-7B-Uncensored-GGUF Wizard-Vicuna-7B-Uncensored. Links to other models can be found in the index at the bottom. 1-GPTQ:gptq-4bit-32g-actorder_True. To download from a specific branch, enter for example TheBloke/Pygmalion-2-13B-GPTQ:main; see Provided Files above for the list I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/phi-2-GGUF phi-2. pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/dolphin-2. Write a response that appropriately I recommend using the huggingface-hub Python library: pip3 install huggingface-hub>=0. 1 Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/WizardCoder-Python-34B-V1. --local-dir-use-symlinks False I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/MonadGPT-GGUF monadgpt. ai team! I contacted Hugging Face for clarification on dual licensing but they do not yet have an official position. 35. 1 Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Llama-2-13B-chat-GGUF llama-2-13b-chat. If layers are offloaded to the GPU, this will reduce RAM usage and use VRAM instead. Special thanks to @TheBloke for hosting this merged I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/sqlcoder-GGUF sqlcoder. From the To download from the main branch, enter TheBloke/llava-v1. Under Download custom model or LoRA, enter TheBloke/OpenBuddy-Llama2-13B-v11. Q2_K. Scales are quantized with 8 bits. From the command line I recommend using the huggingface-hub Python library: pip3 install huggingface-hub I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download Meta's LLaMA 30b GGML These files are GGML format model files for Meta's LLaMA 30b. 1 Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/PuddleJumper-13B-GGUF puddlejumper-13b. --local-dir-use-symlinks False More advanced huggingface-cli download usage I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Yi-34B-GGUF yi-34b. In the top left, Under Download custom model or LoRA, enter TheBloke/WizardCoder-Python-13B-V1. --local-dir-use-symlinks False More advanced huggingface-cli download usage I recommend using the huggingface-hub Python library: pip3 install huggingface-hub>=0. 5-mixtral-8x7b-GGUF dolphin-2. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) TheBloke AI's Discord server. We report 7-shot results for CommonSenseQA and 0-shot results for all from huggingface_hub import InferenceClient endpoint_url = "https://your-endpoint-url-here" prompt = "Tell me about AI" prompt_template= f'''Below is an instruction that describes a task. gguf: Q2_K: 2: 4. Commonsense Reasoning: We report the average of PIQA, SIQA, HellaSwag, WinoGrande, ARC easy and challenge, OpenBookQA, and CommonsenseQA. Under Download custom model or LoRA, enter TheBloke/Wizard-Vicuna-13B-Uncensored-GPTQ. GGUF offers numerous advantages over GGML, such as better tokenisation, and TheBloke's Patreon page WizardLM: An Instruction-following LLM Using Evol-Instruct These I recommend using the huggingface-hub Python library: pip3 install huggingface-hub>=0. I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Athena-v4-GGUF athena-v4. cpp, GPT-J, Pythia, OPT, and GALACTICA. These files were quantised using hardware kindly provided by Massed Compute. The model will start downloading. Note: The reproduced result of StarCoder on MBPP. Once it's finished it will say "Done". This is the repository for the 13B fine-tuned model, optimized for dialogue use cases and converted for the Hugging Face Transformers format. LLM: quantisation, fine tuning. 7b-v1. Please note that these GGMLs are not compatible with llama. Model Details To download from the main branch, enter TheBloke/Mistral-7B-v0. --local-dir-use-symlinks False WizardLM's WizardLM 7B GGML These files are GGML format model files for WizardLM's WizardLM 7B. Once it's finished it will say "Done" pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/WhiteRabbitNeo-13B-GGUF whiterabbitneo-13b. It is suitable for a wide range of language tasks, from generating creative text to understanding and following complex instructions. 1-AWQ --port 3000 --quantize awq --max-input-length 3696 --max-total-tokens 4096 --max-batch-prefill-tokens 4096 I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/goliath-120b-GGUF goliath-120b. gguf I recommend using the huggingface-hub Python library: pip3 install huggingface-hub>=0. It is suitable for a wide range of language tasks, pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/dolphin-2. . pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/NexusRaven-V2-13B-GGUF nexusraven-v2-13b. To download from another branch, add :branchname to the end of the download name, eg TheBloke/Mixtral-8x7B-Instruct-v0. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) Bigcode's Starcoder GGML These files are GGML format model files for Bigcode's Starcoder. Under Download custom model or LoRA, enter TheBloke/OpenChat_v3. pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Augmental-Unholy-13B-GGUF augmental-unholy-13b. --local-dir-use-symlinks False I recommend using the huggingface-hub Python library: pip3 install huggingface-hub>=0. And many of these are 13B models that I recommend using the huggingface-hub Python library: pip3 install huggingface-hub>=0. py into your working directory and call the exported function replace_llama_rope_with_scaled_rope at the very start I recommend using the huggingface-hub Python library: pip3 install huggingface-hub>=0. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) How to download, including from branches In text-generation-webui To download from the main branch, enter TheBloke/phi-2-GPTQ in the "Download model" box. pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/WizardLM-13B-Uncensored-GGUF WizardLM-13B-Uncensored. The scores CodeLlama 13B fp16 Model creator: Meta Description This is Transformers/HF format fp16 weights for CodeLlama 13B. 7-mixtral-8x7b-GGUF dolphin-2. 1 Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Llama-2-7b-Chat-GGUF llama-2-7b-chat. 1 Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Genz-70b-GGUF genz-70b. text-generation-webui; KoboldCpp How to download, including from branches In text-generation-webui To download from the main branch, enter TheBloke/zephyr-7B-beta-GPTQ in the "Download model" box. To download from a specific branch, enter for example TheBloke/Wizard-Vicuna-13B-Uncensored-GPTQ:latest; see Provided Files above for the list of branches for each option. From the command line I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. --local-dir-use-symlinks False More advanced huggingface-cli download Huggingface Text Generation Inference (TGI) is not yet compatible with AWQ, but a PR is open which should bring support soon: TGI PR #781. 1b-chat-v0. --local-dir-use-symlinks False More advanced huggingface-cli download usage pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/EstopianMaid-13B-GGUF estopianmaid-13b. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Stheno-v2-Delta-GGUF stheno-v2-delta. --local-dir-use-symlinks False More advanced huggingface-cli download usage Under Download custom model or LoRA, enter TheBloke/Falcon-180B-GPTQ. --local-dir-use-symlinks False How to download, including from branches In text-generation-webui To download from the main branch, enter TheBloke/deepseek-coder-33B-base-GPTQ in the "Download model" box. e. A gradio web UI for running Large Language Models like LLaMA, llama. from_pretrained(model_path) model = LlamaForCausalLM. Learn more about reporting abuse. Under Download custom model or LoRA, enter TheBloke/CodeLlama-7B-GPTQ. How to download, including from branches In text-generation-webui To download from the main branch, enter TheBloke/LLaMA2-13B-Tiefighter-GPTQ in the "Download model" box. 0-GGUF wizardcoder-python-34b-v1. Large Model Systems Organization 516. 5-GGUF huginn-13b-v4. gguf - pip3 install huggingface-hub>=0. About GGUF I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Falcon-180B-GGUF falcon-180b. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/openchat-3. Huggingface Transformers). 1-GPTQ in the "Download model" box. To download from a specific branch, enter for example TheBloke/OpenChat_v3. From the command line I recommend using the huggingface-hub Python library: pip3 install huggingface-hub This is the original Llama 13B model provided by Facebook/Meta. To download from a specific branch, enter for example TheBloke/CodeLlama-7B-GPTQ:main; see Provided Files above for the list of branches for each option. To download from another branch, add :branchname to the end of the download name, eg TheBloke/llava-v1. 5 Mistral 7B - GGUF Model creator: Argilla Original model: CapyBaraHermes 2. 1 Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Synthia-7B-GGUF synthia-7b. cpp, or currently with text-generation-webui. To download from a specific branch, enter for example TheBloke/Llama-2-13B-GPTQ:main; see Provided Files above for the list of branches for each option. Hugging Face. pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/neural-chat-7B-v3-1-GGUF neural-chat-7b-v3 I recommend using the huggingface-hub Python library: pip3 install huggingface-hub>=0. --local-dir-use-symlinks False pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/MegaDolphin-120b-GGUF megadolphin Under Download custom model or LoRA, enter TheBloke/Spring-Dragon-GPTQ. Note that, at the time of writing, overall throughput is still lower than running vLLM or TGI with unquantised models, however using AWQ enables using much smaller GPUs which can lead to easier deployment and overall cost savings. 5-16K-GPTQ:main; see Provided Files above for the list of branches for each option. To download from another branch, add :branchname to the end of the download name, eg TheBloke/OpenHermes-2-Mistral-7B-GPTQ:gptq-4bit-32g-actorder_True. 74 GB: 7. GGML files are for CPU + GPU inference using llama. It is a replacement for GGML, which is no longer supported by llama. It is the result of merging the LoRA then saving in HF fp16 format. This is the repository for the 70B fine-tuned model, optimized for dialogue use cases and converted for the Hugging Face Transformers format. This model does not have enough activity to be deployed to Inference API (serverless) yet. Under Download custom model or LoRA, enter TheBloke/Nous-Hermes-13B-GPTQ. I enjoy providing models and helping people, and would love to be able to spend even more time doing it, as well as expanding into new projects like fine tuning/training. Code: We report the average pass@1 scores of our models on HumanEval and MBPP. --local-dir-use-symlinks False To download from the main branch, enter TheBloke/Orca-2-13B-GPTQ in the "Download model" box. Tim Dettmers' Guanaco 7B fp16 HF These files are fp16 HF model files for Tim Dettmers' Guanaco 7B. --local-dir-use-symlinks False TheBloke's LLM work is generously supported by a grant from andreessen horowitz (a16z) Nous Hermes Llama 2 13B - GGML Model creator: The model is available for download on Hugging Face. OpenAccess AI Collective's Manticore 13B GGML These files are GGML format model files for OpenAccess AI Collective's Manticore 13B. To download from a specific branch, enter for example TheBloke/Llama-2-70B-chat-GPTQ:main; see Provided Files above for the list of branches for each option. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) # Wizard-Vicuna-13B-Uncensored float16 HF This is a float16 HF repo for Eric Hartford's 'uncensored' training of Wizard-Vicuna 13B. 0-GPTQ. To download from a specific branch, enter for example TheBloke/vicuna-13B-v1. text-generation-webui The monkeypatch is only necessary if you are using a front-end/back-end that does not already support scaling and said front-end/back-end is Python-based (i. To download from the main branch, enter TheBloke/openchat-3. From the command line I recommend using the huggingface-hub Python library: pip3 install To download from the main branch, enter TheBloke/EstopianMaid-13B-GPTQ in the "Download model" box. Multiple GPTQ parameter permutations are provided; see Provided Files below for details of the options provided, their parameters, and the software used to create them. Compared to GPTQ, it offers faster Transformers-based inference. Huggingface Text Generation Inference (TGI) is not yet compatible with AWQ, but a PR is open which should bring support soon: TGI PR #781. Once it's finished it will say "Done" TheBloke AI's Discord server. 0 or later. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/zephyr-7B-beta-GGUF zephyr-7b-beta. This is the repository for the 7B fine-tuned model, optimized for dialogue use cases and converted for TheBloke AI's Discord server. py. Updated Jan 27 • 30 • 9 TheBloke pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/stablelm-zephyr-3b-GGUF stablelm-zephyr-3b. 0. 2-GPTQ. 1 Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Kimiko-7B-GGUF kimiko-7b. 2-GPTQ:gptq-4bit-32g-actorder_True; see Provided Files above for the list of branches for each option. To download from a specific branch, enter for example TheBloke/Spring-Dragon-GPTQ:main; see Provided Files above for the list of branches for each option. 0 and later, from any code or client that supports Transformers; Under Download custom model or LoRA, enter TheBloke/notus-7B-v1-AWQ. Note: the above RAM figures assume no GPU offloading. Other repositories available Overall performance on grouped academic benchmarks. Thanks, and how to contribute. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) I contacted Hugging Face for clarification on dual licensing but they do not yet have an official position. KoboldCpp, a powerful GGML web UI with full GPU acceleration out of the box. If you want HF format, then it can be downloaed from llama-13b-HF. Under Download custom model or LoRA, enter TheBloke/Pygmalion-2-13B-GPTQ. --local-dir-use-symlinks False Under Download custom model or LoRA, enter TheBloke/tulu-30B-GPTQ. 1-GGUF kafkalm-70b-german-v0. To download from another branch, add :branchname to the end pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/dolphin-2. To download from another branch, add :branchname to the end of the download name, eg TheBloke/deepseek-coder-33B-base-GPTQ:gptq-4bit-128g-actorder_True. How to download, including from branches In text-generation-webui To download from the main branch, enter TheBloke/OpenHermes-2-Mistral-7B-GPTQ in the "Download model" box. It is the result of converting Eric's float32 repo to float16 for easier storage and use. To download from another branch, add :branchname to the end of the download name, eg TheBloke/Orca-2-13B-GPTQ:gptq-4bit-32g-actorder_True. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/based-30B-GGUF based-30b. 5-16K-GPTQ. cpp and libraries and UIs which support this format, such as:. 1 Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Phind-CodeLlama-34B-v2-GGUF phind-codellama-34b-v2. --local-dir-use-symlinks False Under Download custom model or LoRA, enter TheBloke/Llama-2-13B-GPTQ. 1-GPTQ:gptq-4bit-128g-actorder_True. 5-mixtral-8x7b. 5-13B-GPTQ in the "Download model" box. It has not been converted to HF format, which is why I have uploaded it. Recent models: last 100 repos, sorted by creation date. 5-1210-GPTQ:gptq-4bit-32g-actorder_True. 5-1210-GPTQ in the "Download model" box. Should this change, or should Meta provide any feedback on this you can add :branch to the end of the download name, eg Under Download custom model or LoRA, enter TheBloke/Griffin-3B-GPTQ. Please see below for detailed instructions on reproducing benchmark results. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/rocket-3B-GGUF rocket-3b. 2-70B-GGUF dolphin-2. From the command line Under Download custom model or LoRA, enter TheBloke/Chronoboros-33B-GPTQ. From the command line We’re on a journey to advance and democratize artificial intelligence through open source and open science. 0-GGUF solar-10. like 98. --local-dir-use-symlinks False @software{dale2023llongorca13b, title = {LlongOrca13B: Llama2-13B Model Instruct-tuned for Long Context on Filtered OpenOrcaV1 GPT-4 Dataset}, author = {Alpin Dale and Wing Lian and Bleys Goodson and Guan Wang and Eugene Pentland and Austin Cook and Chanvichet Vong and "Teknium"}, year = {2023}, publisher = {HuggingFace}, journal = {HuggingFace Under Download custom model or LoRA, enter TheBloke/Yarn-Mistral-7B-128k-AWQ. --local-dir-use-symlinks False https://huggingface. To download from another branch, add :branchname to the end of the download name, eg TheBloke/openchat-3. --local-dir-use-symlinks False pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/NexoNimbus-7B-GGUF nexonimbus-7b. To download from a specific branch, enter for example TheBloke/Griffin-3B-GPTQ:gptq-4bit-32g-actorder_True; see Provided Files above for the list of branches for each option. To apply the patch, you will need to copy the llama_rope_scaled_monkey_patch. 1 Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. gguf --local-dir . 3. cpp team on August 21st 2023. 1. It is the result of merging and/or converting the source repository to float16. I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download Under Download custom model or LoRA, enter TheBloke/Llama-2-7b-Chat-GPTQ. Once it's finished it will say "Done" The model is available for download on Hugging Face. 7-mixtral-8x7b. To download from another branch, add :branchname to the end of the download name, eg TheBloke/phi-2-GPTQ:gptq-4bit-32g-actorder_True. To download from a specific branch, enter for example TheBloke/Kimiko-13B-GPTQ:main; see Provided Files above for the list of branches for each option. 5-1210. 17. --local-dir-use-symlinks False Training Training Dataset StableVicuna-13B is fine-tuned on a mix of three datasets. Should this change, or should Meta provide any feedback on this situation, --model-id TheBloke/Noromaid-20B-v0. 1B-Chat-v0. It is the result of downloading CodeLlama 13B from Meta and converting to HF using convert_llama_weights_to_hf. 0-GPTQ:main; see Provided Files above for the list of branches for each option. To download from a specific branch, enter for example TheBloke/WizardCoder-Python-13B-V1. ai team! Hugging Face Text Generation Inference (TGI) Transformers version 4. Under Download custom model or LoRA, enter TheBloke/Llama-2-70B-chat-GPTQ. jmj yvaiv zzmdop asugn gxxkd tlf njwk xjmxdu kifgi zmjb