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--- |
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language: |
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- en |
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- fr |
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license: other |
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license_name: mrl |
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inference: false |
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license_link: https://mistral.ai/licenses/MRL-0.1.md |
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extra_gated_prompt: >- |
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# Mistral AI Research License |
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If You want to use a Mistral Model, a Derivative or an Output for any purpose that is not expressly authorized under this Agreement, You must request a license from Mistral AI, which Mistral AI may grant to You in Mistral AI's sole discretion. To discuss such a license, please contact Mistral AI via the website contact form: https://mistral.ai/contact/ |
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**1.1. Scope of the Agreement.** This Agreement applies to any use, modification, or Distribution of any Mistral Model by You, regardless of the source You obtained a copy of such Mistral Model. |
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**1.2. Acceptance.** By accessing, using, modifying, Distributing a Mistral Model, or by creating, using or distributing a Derivative of the Mistral Model, You agree to be bound by this Agreement. |
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**2.1. Grant of rights**. Subject to Section 3 below, Mistral AI hereby grants You a non-exclusive, royalty-free, worldwide, non-sublicensable, non-transferable, limited license to use, copy, modify, and Distribute under the conditions provided in Section 2.2 below, the Mistral Model and any Derivatives made by or for Mistral AI and to create Derivatives of the Mistral Model. |
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You must make available a copy of this Agreement to third-party recipients of the Mistral Models and/or Derivatives made by or for Mistral AI you Distribute, it being specified that any rights to use the Mistral Models and/or Derivatives made by or for Mistral AI shall be directly granted by Mistral AI to said third-party recipients pursuant to the Mistral AI Research License agreement executed between these parties; |
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You include in any such Derivatives made by or for You prominent notices stating that You modified the concerned Mistral Model; and |
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Any terms and conditions You impose on any third-party recipients relating to Derivatives made by or for You shall neither limit such third-party recipients' use of the Mistral Model or any Derivatives made by or for Mistral AI in accordance with the Mistral AI Research License nor conflict with any of its terms and conditions. |
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**3.1. Misrepresentation.** You must not misrepresent or imply, through any means, that the Derivatives made by or for You and/or any modified version of the Mistral Model You Distribute under your name and responsibility is an official product of Mistral AI or has been endorsed, approved or validated by Mistral AI, unless You are authorized by Us to do so in writing. |
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**7.1. Term.** This Agreement is effective as of the date of your acceptance of this Agreement or access to the concerned Mistral Models or Derivatives and will continue until terminated in accordance with the following terms. |
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**8.3. Severability.** If any provision of this Agreement is held to be invalid, illegal or unenforceable, the remaining provisions shall be unaffected thereby and remain valid as if such provision had not been set forth herein. |
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"Agreement": means this Mistral AI Research License agreement governing the access, use, and Distribution of the Mistral Models, Derivatives and Outputs. |
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"Derivative": means any (i) modified version of the Mistral Model (including but not limited to any customized or fine-tuned version thereof), (ii) work based on the Mistral Model, or (iii) any other derivative work thereof. |
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"Mistral AI", "We" or "Us": means Mistral AI, a French société par actions simplifiée registered in the Paris commercial registry under the number 952 418 325, and having its registered seat at 15, rue des Halles, 75001 Paris. |
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"Mistral Model": means the foundational large language model(s), and its elements which include algorithms, software, instructed checkpoints, parameters, source code (inference code, evaluation code and, if applicable, fine-tuning code) and any other elements associated thereto made available by Mistral AI under this Agreement, including, if any, the technical documentation, manuals and instructions for the use and operation thereof. |
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"You": means the individual or entity entering into this Agreement with Mistral AI. |
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extra_gated_description: >- |
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Mistral AI processes your personal data below to provide the model and enforce its license. If you are affiliated with a commercial entity, we may also send you communications about our models. For more information on your rights and data handling, please see our <a href="https://mistral.ai/terms/">privacy policy</a>. |
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extra_gated_button_content: Submit |
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library_name: vllm |
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quantized_by: bartowski |
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pipeline_tag: text-generation |
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base_model: mistralai/Mistral-Large-Instruct-2411 |
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base_model_relation: quantized |
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--- |
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## Exllama v2 Quantizations of Mistral-Large-Instruct-2411 |
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Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.2.4">turboderp's ExLlamaV2 v0.2.4</a> for quantization. |
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<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b> |
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Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions. |
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Conversion was done using the default calibration dataset. |
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Default arguments used except when the bits per weight is above 6.0, at that point the lm_head layer is quantized at 8 bits per weight instead of the default 6. |
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Original model: https://huggingface.co/mistralai/Mistral-Large-Instruct-2411 |
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<a href="https://huggingface.co/bartowski/Mistral-Large-Instruct-2411-exl2/tree/6_5">6.5 bits per weight</a> |
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<a href="https://huggingface.co/bartowski/Mistral-Large-Instruct-2411-exl2/tree/5_0">5.0 bits per weight</a> |
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<a href="https://huggingface.co/bartowski/Mistral-Large-Instruct-2411-exl2/tree/4_25">4.25 bits per weight</a> |
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<a href="https://huggingface.co/bartowski/Mistral-Large-Instruct-2411-exl2/tree/3_75">3.75 bits per weight</a> |
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<a href="https://huggingface.co/bartowski/Mistral-Large-Instruct-2411-exl2/tree/3_5">3.5 bits per weight</a> |
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<a href="https://huggingface.co/bartowski/Mistral-Large-Instruct-2411-exl2/tree/3_0">3.0 bits per weight</a> |
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<a href="https://huggingface.co/bartowski/Mistral-Large-Instruct-2411-exl2/tree/2_2">2.2 bits per weight</a> |
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## Download instructions |
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With git: |
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```shell |
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git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Mistral-Large-Instruct-2411-exl2 |
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``` |
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With huggingface hub (credit to TheBloke for instructions): |
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```shell |
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pip3 install huggingface-hub |
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``` |
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To download the `main` (only useful if you only care about measurement.json) branch to a folder called `Mistral-Large-Instruct-2411-exl2`: |
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```shell |
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mkdir Mistral-Large-Instruct-2411-exl2 |
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huggingface-cli download bartowski/Mistral-Large-Instruct-2411-exl2 --local-dir Mistral-Large-Instruct-2411-exl2 |
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``` |
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To download from a different branch, add the `--revision` parameter: |
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Linux: |
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```shell |
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mkdir Mistral-Large-Instruct-2411-exl2-6_5 |
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huggingface-cli download bartowski/Mistral-Large-Instruct-2411-exl2 --revision 6_5 --local-dir Mistral-Large-Instruct-2411-exl2-6_5 |
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``` |
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Windows (which apparently doesn't like _ in folders sometimes?): |
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```shell |
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mkdir Mistral-Large-Instruct-2411-exl2-6.5 |
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huggingface-cli download bartowski/Mistral-Large-Instruct-2411-exl2 --revision 6_5 --local-dir Mistral-Large-Instruct-2411-exl2-6.5 |
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``` |
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