Mistral-Large-Instruct-2407-GGUF

second-state/Mistral-Large-Instruct-2407-GGUF

Mistral-Large-Instruct-2407-GGUF is a text generation model from second-state. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.

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Downloads · 30 days

1.6K

12% of all-time downloads

All-time downloads

14K

Public

Repo size

1.2 TB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf1.2 TB · 100%

At a glance

Task: Text Generation
Library: transformers
License: other
Model type: mistral
Access: Public
Created: Aug 1, 2024
Updated: Aug 6, 2024
SHA: 298a2b1b

Try a prompt

Base models

mistralai/Mistral-Large-Instruct-2407

Model card

From the Hugging Face model README

<div style="width: auto; margin-left: auto; margin-right: auto"> <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;"> </div> <hr style="margin-top: 1.0em; margin-bottom: 1.0em;">

Mistral-Large-Instruct-2407-GGUF

Original Model

mistralai/Mistral-Large-Instruct-2407

Run with LlamaEdge

LlamaEdge version: v0.13.0

Prompt template

Prompt type: mistral-instruct

Prompt string

<s>[INST] {user_message_1} [/INST]{assistant_message_1}</s>[INST] {user_message_2} [/INST]{assistant_message_2}</s>

Context size: 128000

Run as LlamaEdge service

wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-Large-Instruct-2407-Q5_K_M.gguf \
    llama-api-server.wasm \
    --prompt-template mistral-instruct \
    --ctx-size 128000 \
    --model-name Mistral-Large-Instruct-2407

Run as LlamaEdge command app

wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-Large-Instruct-2407-Q5_K_M.gguf \
  llama-chat.wasm \
  --prompt-template mistral-instruct \
  --ctx-size 32000

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
Mistral-Large-Instruct-2407-Q2_K.gguf	Q2_K	2	45.2 GB	smallest, significant quality loss - not recommended for most purposes
Mistral-Large-Instruct-2407-Q3_K_L-00001-of-00003.gguf	Q3_K_L	3	29.9 GB	small, substantial quality loss
Mistral-Large-Instruct-2407-Q3_K_L-00002-of-00003.gguf	Q3_K_L	3	29.9 GB	small, substantial quality loss
Mistral-Large-Instruct-2407-Q3_K_L-00003-of-00003.gguf	Q3_K_L	3	4.70 GB	small, substantial quality loss
Mistral-Large-Instruct-2407-Q3_K_M-00001-of-00002.gguf	Q3_K_M	3	29.9 GB	very small, high quality loss
Mistral-Large-Instruct-2407-Q3_K_M-00002-of-00002.gguf	Q3_K_M	3	29.2 GB	very small, high quality loss
Mistral-Large-Instruct-2407-Q3_K_S-00001-of-00002.gguf	Q3_K_S	3	29.9 GB	very small, high quality loss
Mistral-Large-Instruct-2407-Q3_K_S-00002-of-00002.gguf	Q3_K_S	3	29.2 GB	very small, high quality loss
Mistral-Large-Instruct-2407-Q4_0-00001-of-00003.gguf	Q4_0	4	30.0 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Mistral-Large-Instruct-2407-Q4_0-00002-of-00003.gguf	Q4_0	4	30.0 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Mistral-Large-Instruct-2407-Q4_0-00003-of-00003.gguf	Q4_0	4	9.09 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Mistral-Large-Instruct-2407-Q4_K_M-00001-of-00003.gguf	Q4_K_M	4	30.0 GB	medium, balanced quality - recommended
Mistral-Large-Instruct-2407-Q4_K_M-00002-of-00003.gguf	Q4_K_M	4	29.9 GB	medium, balanced quality - recommended
Mistral-Large-Instruct-2407-Q4_K_M-00003-of-00003.gguf	Q4_K_M	4	13.3 GB	medium, balanced quality - recommended
Mistral-Large-Instruct-2407-Q4_K_S-00001-of-00003.gguf	Q4_K_S	4	29.9 GB	small, greater quality loss
Mistral-Large-Instruct-2407-Q4_K_S-00002-of-00003.gguf	Q4_K_S	4	30.0 GB	small, greater quality loss
Mistral-Large-Instruct-2407-Q4_K_S-00003-of-00003.gguf	Q4_K_S	4	9.67 GB	small, greater quality loss
Mistral-Large-Instruct-2407-Q5_0-00001-of-00003.gguf	Q5_0	5	30.0 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Mistral-Large-Instruct-2407-Q5_0-00002-of-00003.gguf	Q5_0	5	30.0 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Mistral-Large-Instruct-2407-Q5_0-00003-of-00003.gguf	Q5_0	5	24.4 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Mistral-Large-Instruct-2407-Q5_K_M-00001-of-00003.gguf	Q5_K_M	5	29.9 GB	large, very low quality loss - recommended
Mistral-Large-Instruct-2407-Q5_K_M-00002-of-00003.gguf	Q5_K_M	5	29.7 GB	large, very low quality loss - recommended
Mistral-Large-Instruct-2407-Q5_K_M-00003-of-00003.gguf	Q5_K_M	5	26.8 GB	large, very low quality loss - recommended
Mistral-Large-Instruct-2407-Q5_K_S-00001-of-00003.gguf	Q5_K_S	5	30.0 GB	large, low quality loss - recommended
Mistral-Large-Instruct-2407-Q5_K_S-00002-of-00003.gguf	Q5_K_S	5	30.0 GB	large, low quality loss - recommended
Mistral-Large-Instruct-2407-Q5_K_S-00003-of-00003.gguf	Q5_K_S	5	24.4 GB	large, low quality loss - recommended
Mistral-Large-Instruct-2407-Q6_K-00001-of-00004.gguf	Q6_K	6	29.9 GB	very large, extremely low quality loss
Mistral-Large-Instruct-2407-Q6_K-00002-of-00004.gguf	Q6_K	6	29.8 GB	very large, extremely low quality loss
Mistral-Large-Instruct-2407-Q6_K-00003-of-00004.gguf	Q6_K	6	29.8 GB	very large, extremely low quality loss
Mistral-Large-Instruct-2407-Q6_K-00004-of-00004.gguf	Q6_K	6	11.1 GB	very large, extremely low quality loss
Mistral-Large-Instruct-2407-Q8_0-00001-of-00005.gguf	Q8_0	8	29.8 GB	very large, extremely low quality loss - not recommended
Mistral-Large-Instruct-2407-Q8_0-00002-of-00005.gguf	Q8_0	8	29.8 GB	very large, extremely low quality loss - not recommended
Mistral-Large-Instruct-2407-Q8_0-00003-of-00005.gguf	Q8_0	8	29.8 GB	very large, extremely low quality loss - not recommended
Mistral-Large-Instruct-2407-Q8_0-00004-of-00005.gguf	Q8_0	8	29.8 GB	very large, extremely low quality loss - not recommended
Mistral-Large-Instruct-2407-Q8_0-00005-of-00005.gguf	Q8_0	8	11.1 GB	very large, extremely low quality loss - not recommended
Mistral-Large-Instruct-2407-f16-00001-of-00009.gguf	f16	16	29.8 GB
Mistral-Large-Instruct-2407-f16-00002-of-00009.gguf	f16	16	29.8 GB
Mistral-Large-Instruct-2407-f16-00003-of-00009.gguf	f16	16	29.7 GB
Mistral-Large-Instruct-2407-f16-00004-of-00009.gguf	f16	16	29.8 GB
Mistral-Large-Instruct-2407-f16-00005-of-00009.gguf	f16	16	29.7 GB
Mistral-Large-Instruct-2407-f16-00006-of-00009.gguf	f16	16	29.8 GB
Mistral-Large-Instruct-2407-f16-00007-of-00009.gguf	f16	16	29.7 GB
Mistral-Large-Instruct-2407-f16-00008-of-00009.gguf	f16	16	29.7 GB
Mistral-Large-Instruct-2407-f16-00009-of-00009.gguf	f16	16	7.05 GB

Quantized with llama.cpp b3499.

Task: Text Generation
Library: transformers
Type: mistral
License: other
Languages: en, fr, de, es, it, pt
Created: Aug 1, 2024
Updated: Aug 6, 2024