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Codestral-22B-v0.1-GGUF

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- ---
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- license: other
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- license_name: mnpl
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- license_link: https://mistral.ai/licences/MNPL-0.1.md
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- model_name: Qwen1.5-110B-Chat
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- arxiv: 2307.09288
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- base_model: mistralai/Codestral-22B-v0.1
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- inference: false
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- model_creator: mistralai
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- quantized_by: Second State Inc.
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- tags:
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- - code
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- language:
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- - code
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- ---
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-
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- ![](https://github.com/GaiaNet-AI/.github/assets/45785633/d6976adc-f97d-4f86-a648-0f2f5c8e7eee)
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-
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- # Codestral-22B-v0.1-GGUF
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-
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- ## Original Model
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-
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- [mistralai/Codestral-22B-v0.1](https://huggingface.co/mistralai/Codestral-22B-v0.1)
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-
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- ## Run with Gaianet
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-
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- **Prompt template**
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-
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- prompt template: `mistral-instruct`
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-
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- **Context size**
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-
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- chat_ctx_size: `32000`
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-
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- **Run with GaiaNet**
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-
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- - Quick start: https://docs.gaianet.ai/node-guide/quick-start
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-
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- - Customize your node: https://docs.gaianet.ai/node-guide/customize
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-
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- ## Quantized GGUF Models
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-
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- | Name | Quant method | Bits | Size | Use case |
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- | ---- | ---- | ---- | ---- | ----- |
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- | [Codestral-22B-v0.1-hf-Q2_K.gguf](https://huggingface.co/gaianet/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q2_K.gguf) | Q2_K | 2 | 8.27 GB| smallest, significant quality loss - not recommended for most purposes |
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- | [Codestral-22B-v0.1-hf-Q3_K_L.gguf](https://huggingface.co/gaianet/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q3_K_L.gguf) | Q3_K_L | 3 | 11.7 GB| small, substantial quality loss |
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- | [Codestral-22B-v0.1-hf-Q3_K_M.gguf](https://huggingface.co/gaianet/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q3_K_M.gguf) | Q3_K_M | 3 | 10.8 GB| very small, high quality loss |
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- | [Codestral-22B-v0.1-hf-Q3_K_S.gguf](https://huggingface.co/gaianet/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q3_K_S.gguf) | Q3_K_S | 3 | 9.64 GB| very small, high quality loss |
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- | [Codestral-22B-v0.1-hf-Q4_0.gguf](https://huggingface.co/gaianet/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q4_0.gguf) | Q4_0 | 4 | 12.6 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
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- | [Codestral-22B-v0.1-hf-Q4_K_M.gguf](https://huggingface.co/gaianet/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q4_K_M.gguf) | Q4_K_M | 4 | 13.3 GB| medium, balanced quality - recommended |
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- | [Codestral-22B-v0.1-hf-Q4_K_S.gguf](https://huggingface.co/gaianet/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q4_K_S.gguf) | Q4_K_S | 4 | 12.7 GB| small, greater quality loss |
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- | [Codestral-22B-v0.1-hf-Q5_0.gguf](https://huggingface.co/gaianet/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q5_0.gguf) | Q5_0 | 5 | 15.3 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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- | [Codestral-22B-v0.1-hf-Q5_K_M.gguf](https://huggingface.co/gaianet/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q5_K_M.gguf) | Q5_K_M | 5 | 15.7 GB| large, very low quality loss - recommended |
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- | [Codestral-22B-v0.1-hf-Q5_K_S.gguf](https://huggingface.co/gaianet/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q5_K_S.gguf) | Q5_K_S | 5 | 15.3 GB| large, low quality loss - recommended |
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- | [Codestral-22B-v0.1-hf-Q6_K.gguf](https://huggingface.co/gaianet/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q6_K.gguf) | Q6_K | 6 | 18.3 GB| very large, extremely low quality loss |
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- | [Codestral-22B-v0.1-hf-Q8_0.gguf](https://huggingface.co/gaianet/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q8_0.gguf) | Q8_0 | 8 | 23.6 GB| very large, extremely low quality loss - not recommended |
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- | [Codestral-22B-v0.1-hf-f16.gguf](https://huggingface.co/gaianet/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-f16.gguf) | f16 | 16 | 44.5 GB| |
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-
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- *Quantized with llama.cpp b3030.*
 
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+ ---
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+ license: other
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+ license_name: mnpl
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+ license_link: https://mistral.ai/licences/MNPL-0.1.md
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+ model_name: Codestral-22B-v0.1
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+ base_model: mistralai/Codestral-22B-v0.1
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+ inference: false
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+ model_creator: mistralai
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+ quantized_by: Second State Inc.
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+ tags:
11
+ - code
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+ language:
13
+ - code
14
+ ---
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+
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+ ![](https://github.com/GaiaNet-AI/.github/assets/45785633/d6976adc-f97d-4f86-a648-0f2f5c8e7eee)
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+
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+ # Codestral-22B-v0.1-GGUF
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+
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+ ## Original Model
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+
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+ [mistralai/Codestral-22B-v0.1](https://huggingface.co/mistralai/Codestral-22B-v0.1)
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+
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+ ## Run with Gaianet
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+
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+ **Prompt template**
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+
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+ prompt template: `mistral-instruct`
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+
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+ **Context size**
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+
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+ chat_ctx_size: `32000`
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+
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+ **Run with GaiaNet**
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+
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+ - Quick start: https://docs.gaianet.ai/node-guide/quick-start
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+
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+ - Customize your node: https://docs.gaianet.ai/node-guide/customize
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+
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+ ## Quantized GGUF Models
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+
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+ | Name | Quant method | Bits | Size | Use case |
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+ | ---- | ---- | ---- | ---- | ----- |
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+ | [Codestral-22B-v0.1-hf-Q2_K.gguf](https://huggingface.co/gaianet/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q2_K.gguf) | Q2_K | 2 | 8.27 GB| smallest, significant quality loss - not recommended for most purposes |
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+ | [Codestral-22B-v0.1-hf-Q3_K_L.gguf](https://huggingface.co/gaianet/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q3_K_L.gguf) | Q3_K_L | 3 | 11.7 GB| small, substantial quality loss |
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+ | [Codestral-22B-v0.1-hf-Q3_K_M.gguf](https://huggingface.co/gaianet/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q3_K_M.gguf) | Q3_K_M | 3 | 10.8 GB| very small, high quality loss |
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+ | [Codestral-22B-v0.1-hf-Q3_K_S.gguf](https://huggingface.co/gaianet/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q3_K_S.gguf) | Q3_K_S | 3 | 9.64 GB| very small, high quality loss |
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+ | [Codestral-22B-v0.1-hf-Q4_0.gguf](https://huggingface.co/gaianet/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q4_0.gguf) | Q4_0 | 4 | 12.6 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
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+ | [Codestral-22B-v0.1-hf-Q4_K_M.gguf](https://huggingface.co/gaianet/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q4_K_M.gguf) | Q4_K_M | 4 | 13.3 GB| medium, balanced quality - recommended |
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+ | [Codestral-22B-v0.1-hf-Q4_K_S.gguf](https://huggingface.co/gaianet/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q4_K_S.gguf) | Q4_K_S | 4 | 12.7 GB| small, greater quality loss |
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+ | [Codestral-22B-v0.1-hf-Q5_0.gguf](https://huggingface.co/gaianet/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q5_0.gguf) | Q5_0 | 5 | 15.3 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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+ | [Codestral-22B-v0.1-hf-Q5_K_M.gguf](https://huggingface.co/gaianet/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q5_K_M.gguf) | Q5_K_M | 5 | 15.7 GB| large, very low quality loss - recommended |
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+ | [Codestral-22B-v0.1-hf-Q5_K_S.gguf](https://huggingface.co/gaianet/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q5_K_S.gguf) | Q5_K_S | 5 | 15.3 GB| large, low quality loss - recommended |
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+ | [Codestral-22B-v0.1-hf-Q6_K.gguf](https://huggingface.co/gaianet/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q6_K.gguf) | Q6_K | 6 | 18.3 GB| very large, extremely low quality loss |
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+ | [Codestral-22B-v0.1-hf-Q8_0.gguf](https://huggingface.co/gaianet/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q8_0.gguf) | Q8_0 | 8 | 23.6 GB| very large, extremely low quality loss - not recommended |
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+ | [Codestral-22B-v0.1-hf-f16.gguf](https://huggingface.co/gaianet/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-f16.gguf) | f16 | 16 | 44.5 GB| |
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+
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+ *Quantized with llama.cpp b3030.*