maziyarpanahi/mistral-large-instruct-2407-gguf IQ1_S GGUF - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.
Model Intelligence Sheet
maziyarpanahi/mistral-large-instruct-2407-gguf overview
MaziyarPanahi/Mistral-Large-Instruct-2407-GGUF
Downloads
514
Likes
21
Pipeline
text-generation
Library
—
Visibility
Public
Access
Open
Repository Files & Downloads
88 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Mistral-Large-Instruct-2407.IQ1_M.gguf | GGUF | IQ1_M | 26.44 GB | Download |
| Mistral-Large-Instruct-2407.IQ1_S.gguf | GGUF | IQ1_S | 24.18 GB | Download |
| Mistral-Large-Instruct-2407.IQ2_XS.gguf | GGUF | IQ2_XS | 33.60 GB | Download |
| Mistral-Large-Instruct-2407.IQ3_XS.gguf-00001-of-00007.gguf | GGUF | IQ3_XS | 7.75 GB | Download |
| Mistral-Large-Instruct-2407.IQ3_XS.gguf-00002-of-00007.gguf | GGUF | IQ3_XS | 7.51 GB | Download |
| Mistral-Large-Instruct-2407.IQ3_XS.gguf-00003-of-00007.gguf | GGUF | IQ3_XS | 7.37 GB | Download |
| Mistral-Large-Instruct-2407.IQ3_XS.gguf-00004-of-00007.gguf | GGUF | IQ3_XS | 7.31 GB | Download |
| Mistral-Large-Instruct-2407.IQ3_XS.gguf-00005-of-00007.gguf | GGUF | IQ3_XS | 7.31 GB | Download |
| Mistral-Large-Instruct-2407.IQ3_XS.gguf-00006-of-00007.gguf | GGUF | IQ3_XS | 7.64 GB | Download |
| Mistral-Large-Instruct-2407.IQ3_XS.gguf-00007-of-00007.gguf | GGUF | IQ3_XS | 1.81 GB | Download |
| Mistral-Large-Instruct-2407.IQ4_XS.gguf-00001-of-00007.gguf | GGUF | IQ4_XS | 9.81 GB | Download |
| Mistral-Large-Instruct-2407.IQ4_XS.gguf-00002-of-00007.gguf | GGUF | IQ4_XS | 9.96 GB | Download |
| Mistral-Large-Instruct-2407.IQ4_XS.gguf-00003-of-00007.gguf | GGUF | IQ4_XS | 9.79 GB | Download |
| Mistral-Large-Instruct-2407.IQ4_XS.gguf-00004-of-00007.gguf | GGUF | IQ4_XS | 9.70 GB | Download |
| Mistral-Large-Instruct-2407.IQ4_XS.gguf-00005-of-00007.gguf | GGUF | IQ4_XS | 9.70 GB | Download |
| Mistral-Large-Instruct-2407.IQ4_XS.gguf-00006-of-00007.gguf | GGUF | IQ4_XS | 9.79 GB | Download |
| Mistral-Large-Instruct-2407.IQ4_XS.gguf-00007-of-00007.gguf | GGUF | IQ4_XS | 2.19 GB | Download |
| Mistral-Large-Instruct-2407.Q2_K.gguf | GGUF | Q2_K | 42.09 GB | Download |
| Mistral-Large-Instruct-2407.Q3_K_L.gguf-00001-of-00007.gguf | GGUF | Q3_K_L | 9.65 GB | Download |
| Mistral-Large-Instruct-2407.Q3_K_L.gguf-00002-of-00007.gguf | GGUF | Q3_K_L | 9.86 GB | Download |
| Mistral-Large-Instruct-2407.Q3_K_L.gguf-00003-of-00007.gguf | GGUF | Q3_K_L | 9.63 GB | Download |
| Mistral-Large-Instruct-2407.Q3_K_L.gguf-00004-of-00007.gguf | GGUF | Q3_K_L | 9.59 GB | Download |
| Mistral-Large-Instruct-2407.Q3_K_L.gguf-00005-of-00007.gguf | GGUF | Q3_K_L | 9.56 GB | Download |
| Mistral-Large-Instruct-2407.Q3_K_L.gguf-00006-of-00007.gguf | GGUF | Q3_K_L | 9.64 GB | Download |
| Mistral-Large-Instruct-2407.Q3_K_L.gguf-00007-of-00007.gguf | GGUF | Q3_K_L | 2.20 GB | Download |
| Mistral-Large-Instruct-2407.Q3_K_M.gguf-00001-of-00007.gguf | GGUF | Q3_K_M | 9.02 GB | Download |
| Mistral-Large-Instruct-2407.Q3_K_M.gguf-00002-of-00007.gguf | GGUF | Q3_K_M | 8.97 GB | Download |
| Mistral-Large-Instruct-2407.Q3_K_M.gguf-00003-of-00007.gguf | GGUF | Q3_K_M | 8.79 GB | Download |
| Mistral-Large-Instruct-2407.Q3_K_M.gguf-00004-of-00007.gguf | GGUF | Q3_K_M | 8.73 GB | Download |
| Mistral-Large-Instruct-2407.Q3_K_M.gguf-00005-of-00007.gguf | GGUF | Q3_K_M | 8.72 GB | Download |
| Mistral-Large-Instruct-2407.Q3_K_M.gguf-00006-of-00007.gguf | GGUF | Q3_K_M | 8.80 GB | Download |
| Mistral-Large-Instruct-2407.Q3_K_M.gguf-00007-of-00007.gguf | GGUF | Q3_K_M | 2.02 GB | Download |
| Mistral-Large-Instruct-2407.Q3_K_S.gguf-00001-of-00007.gguf | GGUF | Q3_K_S | 7.92 GB | Download |
| Mistral-Large-Instruct-2407.Q3_K_S.gguf-00002-of-00007.gguf | GGUF | Q3_K_S | 8.04 GB | Download |
| Mistral-Large-Instruct-2407.Q3_K_S.gguf-00003-of-00007.gguf | GGUF | Q3_K_S | 7.90 GB | Download |
| Mistral-Large-Instruct-2407.Q3_K_S.gguf-00004-of-00007.gguf | GGUF | Q3_K_S | 7.82 GB | Download |
| Mistral-Large-Instruct-2407.Q3_K_S.gguf-00005-of-00007.gguf | GGUF | Q3_K_S | 7.82 GB | Download |
| Mistral-Large-Instruct-2407.Q3_K_S.gguf-00006-of-00007.gguf | GGUF | Q3_K_S | 7.90 GB | Download |
| Mistral-Large-Instruct-2407.Q3_K_S.gguf-00007-of-00007.gguf | GGUF | Q3_K_S | 1.82 GB | Download |
| Mistral-Large-Instruct-2407.Q4_K_M.gguf-00001-of-00007.gguf | GGUF | Q4_K_M | 11.42 GB | Download |
| Mistral-Large-Instruct-2407.Q4_K_M.gguf-00002-of-00007.gguf | GGUF | Q4_K_M | 10.96 GB | Download |
| Mistral-Large-Instruct-2407.Q4_K_M.gguf-00003-of-00007.gguf | GGUF | Q4_K_M | 10.69 GB | Download |
| Mistral-Large-Instruct-2407.Q4_K_M.gguf-00004-of-00007.gguf | GGUF | Q4_K_M | 10.68 GB | Download |
| Mistral-Large-Instruct-2407.Q4_K_M.gguf-00005-of-00007.gguf | GGUF | Q4_K_M | 10.68 GB | Download |
| Mistral-Large-Instruct-2407.Q4_K_M.gguf-00006-of-00007.gguf | GGUF | Q4_K_M | 11.22 GB | Download |
| Mistral-Large-Instruct-2407.Q4_K_M.gguf-00007-of-00007.gguf | GGUF | Q4_K_M | 2.55 GB | Download |
| Mistral-Large-Instruct-2407.Q4_K_S.gguf-00001-of-00007.gguf | GGUF | Q4_K_S | 10.82 GB | Download |
| Mistral-Large-Instruct-2407.Q4_K_S.gguf-00002-of-00007.gguf | GGUF | Q4_K_S | 10.52 GB | Download |
| Mistral-Large-Instruct-2407.Q4_K_S.gguf-00003-of-00007.gguf | GGUF | Q4_K_S | Unknown | Download |
| Mistral-Large-Instruct-2407.Q4_K_S.gguf-00004-of-00007.gguf | GGUF | Q4_K_S | Unknown | Download |
| Mistral-Large-Instruct-2407.Q4_K_S.gguf-00005-of-00007.gguf | GGUF | Q4_K_S | Unknown | Download |
| Mistral-Large-Instruct-2407.Q4_K_S.gguf-00006-of-00007.gguf | GGUF | Q4_K_S | Unknown | Download |
| Mistral-Large-Instruct-2407.Q4_K_S.gguf-00007-of-00007.gguf | GGUF | Q4_K_S | Unknown | Download |
| Mistral-Large-Instruct-2407.Q5_K_M.gguf-00001-of-00007.gguf | GGUF | Q5_K_M | Unknown | Download |
| Mistral-Large-Instruct-2407.Q5_K_M.gguf-00002-of-00007.gguf | GGUF | Q5_K_M | Unknown | Download |
| Mistral-Large-Instruct-2407.Q5_K_M.gguf-00003-of-00007.gguf | GGUF | Q5_K_M | Unknown | Download |
| Mistral-Large-Instruct-2407.Q5_K_M.gguf-00004-of-00007.gguf | GGUF | Q5_K_M | Unknown | Download |
| Mistral-Large-Instruct-2407.Q5_K_M.gguf-00005-of-00007.gguf | GGUF | Q5_K_M | Unknown | Download |
| Mistral-Large-Instruct-2407.Q5_K_M.gguf-00006-of-00007.gguf | GGUF | Q5_K_M | Unknown | Download |
| Mistral-Large-Instruct-2407.Q5_K_M.gguf-00007-of-00007.gguf | GGUF | Q5_K_M | Unknown | Download |
| Mistral-Large-Instruct-2407.Q5_K_S.gguf-00001-of-00007.gguf | GGUF | Q5_K_S | Unknown | Download |
| Mistral-Large-Instruct-2407.Q5_K_S.gguf-00002-of-00007.gguf | GGUF | Q5_K_S | Unknown | Download |
| Mistral-Large-Instruct-2407.Q5_K_S.gguf-00003-of-00007.gguf | GGUF | Q5_K_S | Unknown | Download |
| Mistral-Large-Instruct-2407.Q5_K_S.gguf-00004-of-00007.gguf | GGUF | Q5_K_S | Unknown | Download |
| Mistral-Large-Instruct-2407.Q5_K_S.gguf-00005-of-00007.gguf | GGUF | Q5_K_S | Unknown | Download |
| Mistral-Large-Instruct-2407.Q5_K_S.gguf-00006-of-00007.gguf | GGUF | Q5_K_S | Unknown | Download |
| Mistral-Large-Instruct-2407.Q5_K_S.gguf-00007-of-00007.gguf | GGUF | Q5_K_S | Unknown | Download |
| Mistral-Large-Instruct-2407.Q6_K.gguf-00001-of-00007.gguf | GGUF | Q6_K | Unknown | Download |
| Mistral-Large-Instruct-2407.Q6_K.gguf-00002-of-00007.gguf | GGUF | Q6_K | Unknown | Download |
| Mistral-Large-Instruct-2407.Q6_K.gguf-00003-of-00007.gguf | GGUF | Q6_K | Unknown | Download |
| Mistral-Large-Instruct-2407.Q6_K.gguf-00004-of-00007.gguf | GGUF | Q6_K | Unknown | Download |
| Mistral-Large-Instruct-2407.Q6_K.gguf-00005-of-00007.gguf | GGUF | Q6_K | Unknown | Download |
| Mistral-Large-Instruct-2407.Q6_K.gguf-00006-of-00007.gguf | GGUF | Q6_K | Unknown | Download |
| Mistral-Large-Instruct-2407.Q6_K.gguf-00007-of-00007.gguf | GGUF | Q6_K | Unknown | Download |
| Mistral-Large-Instruct-2407.Q8_0.gguf-00001-of-00007.gguf | GGUF | — | Unknown | Download |
| Mistral-Large-Instruct-2407.Q8_0.gguf-00002-of-00007.gguf | GGUF | — | Unknown | Download |
| Mistral-Large-Instruct-2407.Q8_0.gguf-00003-of-00007.gguf | GGUF | — | Unknown | Download |
| Mistral-Large-Instruct-2407.Q8_0.gguf-00004-of-00007.gguf | GGUF | — | Unknown | Download |
| Mistral-Large-Instruct-2407.Q8_0.gguf-00005-of-00007.gguf | GGUF | — | Unknown | Download |
| Mistral-Large-Instruct-2407.Q8_0.gguf-00006-of-00007.gguf | GGUF | — | Unknown | Download |
| Mistral-Large-Instruct-2407.Q8_0.gguf-00007-of-00007.gguf | GGUF | — | Unknown | Download |
| Mistral-Large-Instruct-2407.fp16.gguf-00001-of-00007.gguf | GGUF | — | Unknown | Download |
| Mistral-Large-Instruct-2407.fp16.gguf-00002-of-00007.gguf | GGUF | — | Unknown | Download |
| Mistral-Large-Instruct-2407.fp16.gguf-00003-of-00007.gguf | GGUF | — | Unknown | Download |
| Mistral-Large-Instruct-2407.fp16.gguf-00004-of-00007.gguf | GGUF | — | Unknown | Download |
| Mistral-Large-Instruct-2407.fp16.gguf-00005-of-00007.gguf | GGUF | — | Unknown | Download |
| Mistral-Large-Instruct-2407.fp16.gguf-00006-of-00007.gguf | GGUF | — | Unknown | Download |
| Mistral-Large-Instruct-2407.fp16.gguf-00007-of-00007.gguf | GGUF | — | Unknown | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"tags": [
"quantized",
"2-bit",
"3-bit",
"4-bit",
"5-bit",
"6-bit",
"8-bit",
"GGUF",
"text-generation",
"text-generation"
],
"model_name": "Mistral-Large-Instruct-2407-GGUF",
"base_model": "mistralai/Mistral-Large-Instruct-2407",
"inference": false,
"model_creator": "mistralai",
"pipeline_tag": "text-generation",
"quantized_by": "MaziyarPanahi",
"frontmatter": {
"tags": [
"quantized",
"2-bit",
"3-bit",
"4-bit",
"5-bit",
"6-bit",
"8-bit",
"GGUF",
"text-generation",
"text-generation"
],
"model_name": "Mistral-Large-Instruct-2407-GGUF",
"base_model": "mistralai/Mistral-Large-Instruct-2407",
"inference": "false",
"model_creator": "mistralai",
"pipeline_tag": "text-generation",
"quantized_by": "MaziyarPanahi"
},
"hero_image_url": "",
"summary": "# MaziyarPanahi/Mistral-Large-Instruct-2407-GGUF",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\ntags:\n- quantized\n- 2-bit\n- 3-bit\n- 4-bit\n- 5-bit\n- 6-bit\n- 8-bit\n- GGUF\n- text-generation\n- text-generation\nmodel_name: Mistral-Large-Instruct-2407-GGUF\nbase_model: mistralai/Mistral-Large-Instruct-2407\ninference: false\nmodel_creator: mistralai\npipeline_tag: text-generation\nquantized_by: MaziyarPanahi\n---\n# [MaziyarPanahi/Mistral-Large-Instruct-2407-GGUF](https://huggingface.co/MaziyarPanahi/Mistral-Large-Instruct-2407-GGUF)\n- Model creator: [mistralai](https://huggingface.co/mistralai)\n- Original model: [mistralai/Mistral-Large-Instruct-2407](https://huggingface.co/mistralai/Mistral-Large-Instruct-2407)\n\n## Description\n[MaziyarPanahi/Mistral-Large-Instruct-2407-GGUF](https://huggingface.co/MaziyarPanahi/Mistral-Large-Instruct-2407-GGUF) contains GGUF format model files for [mistralai/Mistral-Large-Instruct-2407](https://huggingface.co/mistralai/Mistral-Large-Instruct-2407).\n\n### About GGUF\n\nGGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.\n\nHere is an incomplete list of clients and libraries that are known to support GGUF:\n\n* [llama.cpp](https://github.com/ggerganov/llama.cpp). The source project for GGUF. Offers a CLI and a server option.\n* [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.\n* [LM Studio](https://lmstudio.ai/), an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration. Linux available, in beta as of 27/11/2023.\n* [text-generation-webui](https://github.com/oobabooga/text-generation-webui), the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.\n* [KoboldCpp](https://github.com/LostRuins/koboldcpp), a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.\n* [GPT4All](https://gpt4all.io/index.html), a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel.\n* [LoLLMS Web UI](https://github.com/ParisNeo/lollms-webui), a great web UI with many interesting and unique features, including a full model library for easy model selection.\n* [Faraday.dev](https://faraday.dev/), an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.\n* [candle](https://github.com/huggingface/candle), a Rust ML framework with a focus on performance, including GPU support, and ease of use.\n* [ctransformers](https://github.com/marella/ctransformers), a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server. Note, as of time of writing (November 27th 2023), ctransformers has not been updated in a long time and does not support many recent models.\n\n## Special thanks\n\n🙏 Special thanks to [Georgi Gerganov](https://github.com/ggerganov) and the whole team working on [llama.cpp](https://github.com/ggerganov/llama.cpp/) for making all of this possible.",
"related_quantizations": []
},
"tags": [
"gguf",
"quantized",
"2-bit",
"3-bit",
"4-bit",
"5-bit",
"6-bit",
"8-bit",
"GGUF",
"text-generation",
"base_model:mistralai/Mistral-Large-Instruct-2407",
"base_model:quantized:mistralai/Mistral-Large-Instruct-2407",
"region:us",
"imatrix"
],
"likes": 21,
"downloads": 514,
"gated": false,
"private": false,
"last_modified": "2024-07-26T21:11:56.000Z",
"created_at": "2024-07-24T17:21:23.000Z",
"pipeline_tag": "text-generation",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "66a13813fbabdd7b0df4569a",
"id": "MaziyarPanahi/Mistral-Large-Instruct-2407-GGUF",
"modelId": "MaziyarPanahi/Mistral-Large-Instruct-2407-GGUF",
"sha": "b33370a735c0cde1776fd0bd244a511555e4fa79",
"createdAt": "2024-07-24T17:21:23.000Z",
"lastModified": "2024-07-26T21:11:56.000Z",
"author": "MaziyarPanahi",
"downloads": 514,
"likes": 21,
"gated": false,
"private": false,
"pipeline_tag": "text-generation",
"library_name": "",
"siblings_count": 92
}