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  # Mistral AI Research License

  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/

  ## 1. Scope and acceptance

  **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.

  **1.2. Acceptance.** By accessing, using, modifying, Distributing a Mistral
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  **1.3. Acceptance on behalf of a third-party.** If You accept this Agreement
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  ## 2. License

  **2.1. Grant of rights**.  Subject to Section 3 below, Mistral AI hereby
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  ## 3. Limitations

  **3.1. Misrepresentation.** You must not misrepresent or imply, through any
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  **3.2. Usage Limitation.** You shall only use the Mistral Models, Derivatives
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  ## 4. Intellectual Property

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  **4.3. Derivatives.** By entering into this Agreement, You accept that any
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  ## 5. Liability

  **5.1. Limitation of liability.** In no event, unless required by applicable
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  ## 6. Warranty

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  ## 7. Termination

  **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.

  **7.2. Termination.** Mistral AI may terminate this Agreement at any time if
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  duration necessary to achieve its own intended purpose (e.g. the liability
  provision will survive until the end of the applicable limitation
  period):Sections 5 (Liability), 6(Warranty), 7 (Termination) and 8 (General
  Provisions).

  **7.3. Litigation.** If You initiate any legal action or proceedings against
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  intellectual property or other rights owned or licensable by You, then any
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  ## 8. General provisions

  **8.1. Governing laws.** This Agreement will be governed by the laws of
  France, without regard to choice of law principles, and the UN Convention on
  Contracts for the International Sale of Goods does not apply to this
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  **8.2. Competent jurisdiction.** The courts of Paris shall have exclusive
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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.

  ## 9. Definitions

  "Agreement": means this Mistral AI Research License agreement governing the
  access, use, and Distribution of the Mistral Models, Derivatives and Outputs.

  "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.

  "Distribution", "Distributing", "Distribute" or "Distributed": means
  supplying, providing or making available, by any means, a copy of the Mistral
  Models and/or the Derivatives as the case may be, subject to Section 3 of this
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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.

  "Mistral Model": means the foundational large language model(s), and its
  elements which include algorithms, software, instructed checkpoints,
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  fine-tuning code) and any other elements associated thereto made available by
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  "Research Purposes": means any use of a Mistral Model,  Derivative, or Output
  that is solely for (a) personal, scientific or academic research, and (b) for
  non-profit and non-commercial purposes, and not directly or indirectly
  connected to any commercial activities or business operations. For
  illustration purposes, Research Purposes does not include (1) any usage of the
  Mistral Model, Derivative or Output by individuals or contractors employed in
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  activity (including but not limited to any testing or proof-of-concept) that
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  through a hosted or managed service (e.g. SaaS, cloud instances, etc.), or
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  "Outputs": means any content generated by the operation of the Mistral Models
  or the Derivatives from  a prompt (i.e., text instructions) provided by users.
  For the avoidance of doubt, Outputs do not include any components of a Mistral
  Models, such as any fine-tuned versions of the Mistral Models, the weights, or
  parameters.

  "You": means the individual or entity entering into this Agreement with
  Mistral AI.


  *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_description: >-
  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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library_name: vllm
tags:
  - llama-cpp
  - gguf-my-repo
base_model: mistralai/Ministral-8B-Instruct-2410

gphorvath/Ministral-8B-Instruct-2410-Q4_K_M-GGUF

This model was converted to GGUF format from mistralai/Ministral-8B-Instruct-2410 using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo gphorvath/Ministral-8B-Instruct-2410-Q4_K_M-GGUF --hf-file ministral-8b-instruct-2410-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo gphorvath/Ministral-8B-Instruct-2410-Q4_K_M-GGUF --hf-file ministral-8b-instruct-2410-q4_k_m.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo gphorvath/Ministral-8B-Instruct-2410-Q4_K_M-GGUF --hf-file ministral-8b-instruct-2410-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo gphorvath/Ministral-8B-Instruct-2410-Q4_K_M-GGUF --hf-file ministral-8b-instruct-2410-q4_k_m.gguf -c 2048