starcoder gptq. 4-bit GPTQ models for GPU inference; 4, 5, and 8-bit GGML models for CPU+GPU inference; Unquantised fp16 model in pytorch format, for GPU inference and for further conversions; Compatibilty These files are not compatible with llama. starcoder gptq

 
4-bit GPTQ models for GPU inference; 4, 5, and 8-bit GGML models for CPU+GPU inference; Unquantised fp16 model in pytorch format, for GPU inference and for further conversions; Compatibilty These files are not compatible with llamastarcoder gptq  The extremely high inference cost, in both time and memory, is a big bottleneck for adopting a powerful transformer for solving

Visit the HuggingFace Model Hub to see more StarCoder-compatible models. The app leverages your GPU when. com Hi folks, back with an update to the HumanEval+ programming ranking I posted the other day incorporating your feedback - and some closed models for comparison! Now has improved generation params, new models: Falcon, Starcoder, Codegen, Claude+, Bard, OpenAssistant and more : r/LocalLLaMA. The table below lists all the compatible models families and the associated binding repository. StarChat is a series of language models that are fine-tuned from StarCoder to act as helpful coding assistants. It. Reload to refresh your session. Self-hosted, community-driven and local-first. StarCoder using this comparison chart. cpp (GGUF), Llama models. ), which is permissively licensed with inspection tools, deduplication and opt-out - StarCoder, a fine-tuned version of. 6: WizardLM-7B 1. by. from_quantized (. Slightly adjusted preprocessing of C4 and PTB for more realistic evaluations (used in our updated results); can be activated via the flag -. 4. And many of these are 13B models that should work well with lower VRAM count GPUs! I recommend trying to load with Exllama (HF if possible). 28. StarCoder # Paper: A technical report about StarCoder. Capability. 807: 16. . ago. Supports transformers, GPTQ, AWQ, EXL2, llama. Checkout our model zoo here! [2023/11] 🔥 AWQ is now integrated natively in Hugging Face transformers through from_pretrained. 你可以使用 model. Load it with AutoGPTQ and it. CodeGen2. This repository showcases how we get an overview of this LM's capabilities. It is not just one model, but rather a collection of models, making it an interesting project worth introducing. ShareIt is built on top of the excellent work of llama. New discussion New pull request. You signed in with another tab or window. Contribution. Model card Files Files and versions Community 4 Use with library. , 2022; Dettmers et al. Format. ShipItMind/starcoder-gptq-4bit-128g. TinyCoder stands as a very compact model with only 164 million parameters. Multi-LoRA in PEFT is tricky and the current implementation does not work reliably in all cases. Depending on your operating system, follow the appropriate commands below: M1 Mac/OSX: Execute the following command: . LocalAI LocalAI is a drop-in replacement REST API compatible with OpenAI for local CPU inferencing. mayank31398 commited on May 5. . Type: Llm: Login. To run GPTQ-for-LLaMa, you'll need to use the "--loader" parameter with the value "gptq-for-llama". It also significantly outperforms text-davinci-003, a model that's more than 10 times its size. It's a 15. Until you can go to pytorch's website and see official pytorch rocm support for windows I'm. It is the result of quantising to 4bit using AutoGPTQ. No GPU required. 0. It is the result of quantising to 4bit using AutoGPTQ. Text Generation • Updated 28 days ago • 424 • 6 ArmelR/starcoder-gradio-v0. Please see below for a list of tools known to work with these model files. langchain-visualizer - Visualization and debugging tool for LangChain. A less hyped framework compared to ggml/gptq is CTranslate2. Text Generation • Updated Sep 14 • 65. The StarCoder models are 15. We found that removing the in-built alignment of the OpenAssistant dataset. etc Hope it can run on WebUI, please give it a try! mayank313. conversion. StarChat-β is the second model in the series, and is a fine-tuned version of StarCoderPlus that was trained on an "uncensored" variant of the openassistant-guanaco dataset. Original model: 4bit GPTQ for GPU inference: 4, 5 and 8-bit GGMLs for CPU. arxiv: 2210. The model uses Multi Query Attention, a context window of 8192 tokens, and was trained using the Fill-in-the-Middle objective on 1 trillion tokens. SQLCoder is fine-tuned on a base StarCoder model. We also have extensions for: neovim. Limit Self-Promotion. The LM Studio cross platform desktop app allows you to download and run any ggml-compatible model from Hugging Face, and provides a simple yet powerful model configuration and inferencing UI. StarCoder using this comparison chart. Note: The above table conducts a comprehensive comparison of our WizardCoder with other models on the HumanEval and MBPP benchmarks. 11 tokens/s. 17323. examples provide plenty of example scripts to use auto_gptq in different ways. 4-bit quantization tends to come at a cost of output quality losses. No GPU required. The LM Studio cross platform desktop app allows you to download and run any ggml-compatible model from Hugging Face, and provides a simple yet powerful model configuration and inferencing UI. LLaMA and Llama2 (Meta) Meta release Llama 2, a collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from 7 billion to 70 billion parameters. This guide actually works well for linux too. Output generated in 37. First, make sure to install the latest version of Flash Attention 2 to include the sliding window attention feature. 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 . Drop-in replacement for OpenAI running on consumer-grade hardware. The Starcoder models are a series of 15. Models; Datasets; Spaces; Docs示例 提供了大量示例脚本以将 auto_gptq 用于不同领域。 支持的模型 . I tried with tiny_starcoder_py model as the weight size were quite small to fit without mem64, and tried to see the performance/accuracy. Repositories available 4-bit GPTQ models for GPU inference; 4, 5, and 8-bit GGML models for CPU+GPU inference; Unquantised fp16 model in pytorch format, for GPU inference and for further. Slightly adjusted preprocessing of C4 and PTB for more realistic evaluations (used in our updated results); can be activated via the flag --new-eval. co/datasets/bigco de/the-stack. like 16. 17323. like 2. ; model_file: The name of the model file in repo or directory. OpenAI compatible API; Supports multiple modelsA tag already exists with the provided branch name. starcoder-GPTQ-4bit-128g. Capability. Switch the model from Open Assistant to StarCoder. Loads the language model from a local file or remote repo. GPTQ compresses GPT (decoder) models by reducing the number of bits needed to store each weight in the model, from 32 bits down to just 3-4 bits. As they say on AI Twitter: “AI won’t replace you, but a person who knows how to use AI will. Resources. config. cpp (GGUF), Llama models. They are powerful but very expensive to train and use. arxiv: 1911. GPTQ clearly outperforms here. We present QLoRA, an efficient finetuning approach that reduces memory usage enough to finetune a 65B parameter model on a single 48GB GPU while preserving full 16-bit finetuning task performance. bigcode-tokenizer Public StarCoder: 最先进的代码大模型 关于 BigCode . Visit the HuggingFace Model Hub to see more StarCoder-compatible models. from_pretrained ("TheBloke/Llama-2-7B-GPTQ")Sep 24. Example:. Install additional dependencies using: pip install ctransformers [gptq] Load a GPTQ model using: llm = AutoModelForCausalLM. Please note that these GGMLs are not compatible with llama. --. 1. It is the result of quantising to 4bit using AutoGPTQ. 相较于 obq,gptq 的量化步骤本身也更快:obq 需要花费 2 个 gpu 时来完成 bert 模型 (336m) 的量化,而使用 gptq,量化一个 bloom 模型 (176b) 则只需不到 4 个 gpu 时。vLLM is a fast and easy-to-use library for LLM inference and serving. . 0 licensed, open-source foundation model that exceeds the quality of GPT-3 (from the original paper) and is competitive with other open-source models such as LLaMa-30B and Falcon-40B. MPT-7B-StoryWriter-65k+ is a model designed to read and write fictional stories with super long context lengths. Runs ggml, gguf, GPTQ, onnx, TF compatible models: llama, llama2, rwkv, whisper, vicuna, koala, cerebras, falcon, dolly, starcoder, and many others. StarCoder LLM is out! 100% coding specialized Really hope to see more specialized models becoming more common than general use ones, like one that is a math expert, history expert. Saved searches Use saved searches to filter your results more quickly python download-model. 7B Causal Language Model focused on Code Completion. arxiv: 2205. StarPii: StarEncoder based PII detector. safetensors Loading model. However, I have seen interesting tests with Starcoder. 408:. Our fine-tuned LLMs, called Llama 2-Chat, are optimized for dialogue use cases. Reload to refresh your session. Additionally, you need to pass in. You can probably also do 2x24GB if you figure out AutoGPTQ args for it. Note: The above table conducts a comprehensive comparison of our WizardCoder with other models on the HumanEval and MBPP benchmarks. Currently 4-bit (RtN) with 32 bin-size is supported by GGML implementations. Starcoder itself isn't instruction tuned, and I have found to be very fiddly with prompts. json. 5 with 7B is on par with >15B code-generation models (CodeGen1-16B, CodeGen2-16B, StarCoder-15B), less than half the size. [2023/11] 🔥 We added AWQ support and pre-computed search results for CodeLlama, StarCoder, StableCode models. SQLCoder is a 15B parameter model that slightly outperforms gpt-3. cpp, gptneox. The model will start downloading. 1 to use the GPTBigCode architecture. Text Generation Transformers. You switched accounts on another tab or window. 4. :robot: The free, Open Source OpenAI alternative. 5-turbo for natural language to SQL generation tasks on our sql-eval framework, and significantly outperforms all popular open-source models. Home of StarCoder: fine-tuning & inference! Python 6,623 Apache-2. A less hyped framework compared to ggml/gptq is CTranslate2. preview code |Under Download custom model or LoRA, enter TheBloke/starchat-beta-GPTQ. You switched accounts on another tab or window. Featuring robust infill sampling , that is, the model can “read” text of both. io. 5B parameter Language Model trained on English and 80+ programming languages. starcoder-GPTQ-4bit-128g. Transformers or GPTQ models are made of several files and must be placed in a subfolder. Text Generation • Updated May 16 • 222 • 5. 5. It also generates comments that explain what it is doing. Saved searches Use saved searches to filter your results more quicklyAbstract: The BigCode community, an open-scientific collaboration working on the responsible development of Large Language Models for Code (Code LLMs),. This is the same model as SantaCoder but it can be loaded with transformers >=4. Repository: bigcode/Megatron-LM. Note: The reproduced result of StarCoder on MBPP. Saved searches Use saved searches to filter your results more quicklyGGML - Large Language Models for Everyone: a description of the GGML format provided by the maintainers of the llm Rust crate, which provides Rust bindings for GGML. vLLM is fast with: State-of-the-art serving throughput; Efficient management of attention key and value memory with PagedAttention; Continuous batching of incoming requestsFrom Zero to Python Hero: AI-Fueled Coding Secrets Exposed with Gorilla, StarCoder, Copilot, ChatGPT. While Rounding-to-Nearest (RtN) gives us decent int4, one cannot achieve int3 quantization using it. Note: The reproduced result of StarCoder on MBPP. g. Install additional dependencies using: pip install ctransformers[gptq] Load a GPTQ model using: llm = AutoModelForCausalLM. 0-GPTQ" # Or to load it locally, pass the local download pathreplit-code-v1-3b is a 2. StarCoder+: StarCoderBase further trained on English web data. SQLCoder is a 15B parameter model that slightly outperforms gpt-3. First Get the gpt4all model. StarCoder using this comparison chart. In this blog post, we’ll show how StarCoder can be fine-tuned for chat to create a personalised coding assistant![Updated on 2023-01-24: add a small section on Distillation. Click the Model tab. Supports transformers, GPTQ, AWQ, EXL2, llama. Which is the best alternative to GPTQ-for-LLaMa? Based on common mentions it is: GPTQ-for-LLaMa, Exllama, Koboldcpp, Text-generation-webui or Langflow. 424: 13. OctoCoder is an instruction tuned model with 15. So besides GPT4, I have found Codeium to be the best imo. It's a 15. llm-vscode is an extension for all things LLM. SQLCoder is fine-tuned on a base StarCoder. It uses llm-ls as its backend. GPTQ is a type of quantization (mainly used for models that run on a GPU). cpp is the wrong address for this case. If you previously logged in with huggingface-cli login on your system the extension will read the token from disk. . Dreambooth 允许您向 Stable Diffusion 模型“教授”新概念。LoRA 与 Dreambooth 兼容,过程类似于微调,有几个优点:StarCoder is an LLM designed solely for programming languages with the aim of assisting programmers in writing quality and efficient code within reduced time frames. Text Generation • Updated Sep 14 • 65. Visit GPTQ-for-SantaCoder for instructions on how to use the model weights here. Changed to support new features proposed by GPTQ. StarCoder. Reload to refresh your session. HumanEval is a widely used benchmark for Python that checks. StarCoder, StarChat: gpt_bigcode:. They fine-tuned StarCoderBase model for 35B. 1k • 34. StarCoder is not just a code predictor, it is an assistant. In the Model dropdown, choose the model you just downloaded: stablecode-completion-alpha-3b-4k-GPTQ. Embeddings support. starcoder-GPTQ-4bit-128g. StarCoderPlus is a fine-tuned version of StarCoderBase on 600B tokens from the English web dataset RedefinedWeb combined with StarCoderData from The Stack (v1. in your case paste this with double quotes: "You:" or "/nYou" or "Assistant" or "/nAssistant". Args: ; model_path_or_repo_id: The path to a model file or directory or the name of a Hugging Face Hub model repo. The model will start downloading. Under Download custom model or LoRA, enter TheBloke/WizardCoder-15B-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. bigcode/the-stack-dedup. Ubuntu. A Gradio web UI for Large Language Models. 5: gpt4-2023. SQLCoder is fine-tuned on a base StarCoder. GPTQ quantization is a state of the art quantization method which results in negligible output performance loss when compared with the prior state of the art in 4-bit (. py ShipItMind/starcoder-gptq-4bit-128g Downloading the model to models/ShipItMind_starcoder-gptq-4bit-128g. Bigcode's Starcoder GPTQ These files are GPTQ 4bit model files for Bigcode's Starcoder. Note: The reproduced result of StarCoder on MBPP. you need install pyllamacpp, how to install download llama_tokenizer Get Convert it to the new ggml format this is the one that has been converted : here with this simple command pyllamacpp-convert-gpt4all pa. 0: 57. Two other test models, TheBloke/CodeLlama-7B-GPTQ and TheBloke/Samantha-1. safetenors, act-order and no act-orders. line 64. In the top left, click the refresh icon next to Model. This tech report describes the progress of the collaboration until December 2022, outlining the current state of the Personally Identifiable Information (PII) redaction pipeline, the experiments conducted to. Bigcode's Starcoder GPTQ These files are GPTQ 4bit model files for Bigcode's Starcoder. 0-GPTQ. 0 Svelte GPTQ-for-LLaMa VS sergeThis time, it's Vicuna-13b-GPTQ-4bit-128g vs. Type: Llm: Login. OpenLLaMA is an openly licensed reproduction of Meta's original LLaMA model. Using a dataset more appropriate to the model's training can improve quantisation accuracy. An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library. update no_split_module_classes=["LLaMADecoderLayer"] to no_split_module_classes=["LlamaDecoderLayer"]. GPTQ-for-SantaCoder-and-StarCoder. The extremely high inference cost, in both time and memory, is a big bottleneck for adopting a powerful transformer for solving. StarCoder in 2023 by cost, reviews, features, integrations, deployment, target market, support options, trial offers, training options, years in business, region, and more using the chart below. 1-4bit --loader gptq-for-llama". You'll need around 4 gigs free to run that one smoothly. 801. Dosent hallucinate any fake libraries or functions. Backend and Bindings. A purely 3-bit implementation of llama. mayank31398 already made GPTQ versions of it both in 8 and 4 bits but,. This means the model takes up much less memory and can run on less Hardware, e. You signed in with another tab or window. For API:GPTQ models for GPU inference, with multiple quantisation parameter options. 0 model slightly outperforms some closed-source LLMs on the GSM8K, including ChatGPT 3. main: Uses the gpt_bigcode model. Since GGUF is not yet available for Text Generation Inference yet, we will stick to GPTQ. ; Our WizardMath-70B-V1. 14135. Similar to LLaMA, we trained a ~15B parameter model for 1 trillion tokens. The model will automatically load, and is now ready for use! If you want any custom settings, set them and then click Save settings for this model followed by Reload the Model in the top right. py ShipItMind/starcoder-gptq-4bit-128g Downloading the model to models/ShipItMind_starcoder-gptq-4bit-128g. . StarChat Alpha is the first of these models, and as an alpha release is only intended for educational or research purpopses. High-throughput serving with various decoding algorithms, including parallel sampling, beam search, and more. 6: gpt-3. like 16. Compare. StarCoder LLM is out! 100% coding specialized Really hope to see more specialized models becoming more common than general use ones, like one that is a math expert, history expert. Click the Model tab. See my comment here:. You will be able to load with AutoModelForCausalLM and. Contribution. 06161. cpp with GGUF models including the Mistral,. 7: GPU Memory Usage. The GPT4All Chat UI supports models from all newer versions of llama. / gpt4all-lora-quantized-OSX-m1. In some examples, the target modules are ["query_key_value"], sometimes it is ["q", "v"], sometimes something else. GPTQ-for-StarCoder. StarEncoder: Encoder model trained on TheStack. GPT4All Chat UI. TH posted an article a few hours ago claiming AMD ROCm support for windows is coming back, but doesn't give a timeline. ChatGPT. I'm considering a Vicuna vs. Install additional dependencies using: pip install ctransformers[gptq] Load a GPTQ model using: llm = AutoModelForCausalLM. Text Generation • Updated 2 days ago • 230 frank098/starcoder-merged. StarCoder and comparable devices were tested extensively over a wide range of benchmarks. bigcode/starcoderbase-1b. arxiv: 2210. In the Model dropdown, choose the model you just downloaded: WizardCoder-15B-1. You can supply your HF API token ( hf. You signed in with another tab or window. I don't quite understand where the values of the target modules come from. 比如, WizardLM,vicuna 和 gpt4all 模型的 model_type 皆为 llama, 因此这些模型皆被 auto_gptq 所. The Stack serves as a pre-training dataset for. Pick yer size and type! Merged fp16 HF models are also available for 7B, 13B and 65B (33B Tim did himself. Using Docker, TheBloke/starcoder-GPTQ loads (and seems to work as expected) with and without -e DISABLE_EXLLAMA=True. StarCoder in 2023 by cost, reviews, features, integrations, deployment, target market, support options, trial offers, training options, years in business, region, and more using the chart below. StarCoder: 33. The open‑access, open‑science, open‑governance 15 billion parameter StarCoder LLM makes generative AI more transparent and accessible to enable responsible innovation. With 40 billion parameters, Falcon 40B is the UAE's first large-scale AI model, indicating the country's ambition in the field of AI and its commitment to promote innovation and research. There's an open issue for implementing GPTQ quantization in 3-bit and 4-bit. Results StarCoder Bits group-size memory(MiB) wikitext2 ptb c4 stack checkpoint size(MB) FP32: 32-10. The technical report outlines the efforts made to develop StarCoder and StarCoderBase, two 15. The table below lists all the compatible models families and the associated binding repository. 05/08/2023. 0-GGUF wizardcoder. Acknowledgements. . It is now able to fully offload all inference to the GPU. , 2022; Dettmers et al. Token stream support. 3 points higher than the SOTA open-source Code LLMs, including StarCoder, CodeGen, CodeGee, and CodeT5+. co/settings/token) with this command: Cmd/Ctrl+Shift+P to open VSCode command palette. StarCoder is a high-performance LLM for code with over 80 programming languages, trained on permissively licensed code from GitHub. Doesnt require using specific prompt format like starcoder. The model has been trained on a subset of the Stack Dedup v1. TGI implements many features, such as:In the top left, click the refresh icon next to Model. Under Download custom model or LoRA, enter TheBloke/vicuna-13B-1. StarCoderPlus is a fine-tuned version of StarCoderBase on 600B tokens from the English web dataset RedefinedWeb combined with StarCoderData from The Stack (v1. 1 5,141 10. Without doing those steps, the stuff based on the new GPTQ-for-LLama will. OpenLLM is an open-source platform designed to facilitate the deployment and operation of large language models (LLMs) in real-world applications. , 2022). py <path to OpenLLaMA directory>. Fortunately, the other formats provided by TheBloke do seem to work. Should be highest possible quality quantisation. How to run starcoder-GPTQ-4bit-128g? Question | Help I am looking at running this starcoder locally -- someone already made a 4bit/128 version (. Use high-level API instead. arxiv: 2207. for example, model_type of WizardLM, vicuna and gpt4all are all llama, hence they are all supported. Model card Files Files and versions Community 4 Use with library. StarCoderBase: Trained on 80+ languages from The Stack. System Info. A summary of all mentioned or recommeneded projects: GPTQ-for-LLaMa, starcoder, GPTQ-for-LLaMa, serge, and Local-LLM-Comparison-Colab-UI GPTQ. This code is based on GPTQ. StarCoder and StarCoderBase are Large Language Models for Code (Code LLMs) trained on permissively licensed data from GitHub, including from 80+ programming languages,. I tried to issue 3 requests from 3 different devices and it waits till one is finished and then continues to the next one. Bigcode's Starcoder GPTQ These files are GPTQ 4bit model files for Bigcode's Starcoder. 0: defog-sqlcoder2: 74. 示例 提供了大量示例脚本以将 auto_gptq 用于不同领域。 支持的模型 . The GTX 1660 or 2060, AMD 5700 XT, or RTX 3050 or 3060 would all work nicely. However, whilst checking for what version of huggingface_hub I had installed, I decided to update my Python environment to the one suggested in the requirements. Edit model card GPTQ-for-StarCoder. The program can run on the CPU - no video card is required. StarCoder — which is licensed to allow for royalty-free use by anyone, including corporations — was trained in over 80 programming languages. Runs ggml, gguf, GPTQ, onnx, TF compatible models: llama, llama2, rwkv, whisper, vicuna, koala, cerebras, falcon, dolly, starcoder, and many others api kubernetes bloom ai containers falcon tts api-rest llama alpaca vicuna guanaco gpt-neox llm stable-diffusion rwkv gpt4all CodeGen2. 0-GPTQ. The model will automatically load, and is now. Text Generation • Updated Aug 21 • 452 • 23 TheBloke/starchat-beta-GPTQ. GPTQ-quantized model required a lot of RAM to load, by a lot I mean a lot, like around 90G for 65B to load. org. gpt_bigcode code Eval Results. ”. License: bigcode-openrail-m. You switched accounts on another tab or window. Having said that, Replit-code (. 5B parameter models trained on permissively licensed data from The Stack. Add support for batching and beam search to 🤗 model. In any case, if your checkpoint was obtained using finetune. +Patreon special mentions**: Sam, theTransient, Jonathan Leane, Steven Wood, webtim, Johann-Peter Hartmann, Geoffrey Montalvo, Gabriel Tamborski, Willem Michiel, John. Text Generation • Updated Aug 21 • 284 • 13 TheBloke/starcoderplus-GPTQ. Reload to refresh your session. For the model to run properly, you will need roughly 10 Gigabytes. Load other checkpoints We upload the checkpoint of each experiment to a separate branch as well as the intermediate checkpoints as commits on the branches. main_custom: Packaged. Results on novel datasets not seen in training model perc_correct; gpt-4: 74. "TheBloke/starcoder-GPTQ", device="cuda:0", use_safetensors=True. TheBloke/starcoder-GPTQ. Supercharger I feel takes it to the next level with iterative coding. 2), with opt-out requests excluded. How to run starcoder-GPTQ-4bit-128g? Question | Help I am looking at running this starcoder locally -- someone already made a 4bit/128 version ( ) How the hell do we use this thing? See full list on github. In particular, the model has not been aligned to human preferences with techniques like RLHF, so may generate. TheBloke/starcoder-GPTQ. StarCoder-Base was trained on over 1 trillion tokens derived from more than 80 programming languages, GitHub issues, Git commits, and Jupyter. Download prerequisites. 🚂 State-of-the-art LLMs: Integrated support for a wide. Note: Though PaLM is not an open-source model, we still include its results here. Saved searches Use saved searches to filter your results more quicklyWith an enterprise-friendly license, 8,192 token context length, and fast large-batch inference via multi-query attention, StarCoder is currently the best open-source choice for code-based applications. It is now able to fully offload all inference to the GPU. 408: 1. cpp, bloomz. Repositories available 4-bit GPTQ models for GPU inference; 4, 5, and 8. StarCoder is a new 15b state-of-the-art large language model (LLM) for code released by BigCode *. Compatible models. Besides llama based models, LocalAI is compatible also with other architectures. 982f7f2 4 months ago. Single GPU for. py ShipItMind/starcoder-gptq-4bit-128g Downloading the model to models/ShipItMind_starcoder-gptq-4bit-128g. . 9%: 2023. [3 times the same warning for files storage. The model uses Multi Query Attention, was trained using the Fill-in-the-Middle objective and with 8,192 tokens context window for a trillion tokens of heavily deduplicated data.