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---
license: other
license_name: mnpl
license_link: https://mistral.ai/licenses/MNPL-0.1.md
tags:
- code
language:
- code
base_model:
- mistralai/Codestral-22B-v0.1
---
*This model was quantized by [SanctumAI](https://sanctum.ai). To leave feedback, join our community in [Discord](https://discord.gg/7ZNE78HJKh).*
# Codestral 22B v0.1 GGUF
**Model creator:** [mistralai](https://huggingface.co/mistralai)<br>
**Original model**: [Codestral-22B-v0.1](https://huggingface.co/mistralai/Codestral-22B-v0.1)<br>
## Model Summary:
Codestrall-22B-v0.1 is trained on a diverse dataset of 80+ programming languages, including the most popular ones, such as Python, Java, C, C++, JavaScript, and Bash (more details in the [Blogpost](https://mistral.ai/news/codestral/)). The model can be queried:
As instruct, for instance to answer any questions about a code snippet (write documentation, explain, factorize) or to generate code following specific indications
As Fill in the Middle (FIM), to predict the middle tokens between a prefix and a suffix (very useful for software development add-ons like in VS Code)
## Prompt Template:
If you're using Sanctum app, simply use `Mistral` model preset.
Prompt template:
```
<s>[INST] {prompt} [/INST]
```
## Hardware Requirements Estimate
| Name | Quant method | Size | Memory (RAM, vRAM) required (for full context of 32k tokens) |
| ---- | ---- | ---- | ---- |
| [codestral-22b-v0.1.Q2_K.gguf](https://huggingface.co/SanctumAI/Codestral-22B-v0.1-GGUF/blob/main/codestral-22b-v0.1.Q2_K.gguf) | Q2_K | 8.27 GB | 16.02 GB |
| [codestral-22b-v0.1.Q3_K_S.gguf](https://huggingface.co/SanctumAI/Codestral-22B-v0.1-GGUF/blob/main/codestral-22b-v0.1.Q3_K_S.gguf) | Q3_K_S | 9.64 GB | ? |
| [codestral-22b-v0.1.Q3_K_M.gguf](https://huggingface.co/SanctumAI/Codestral-22B-v0.1-GGUF/blob/main/codestral-22b-v0.1.Q3_K_M.gguf) | Q3_K_M | 10.76 GB | ? |
| [codestral-22b-v0.1.Q3_K_L.gguf](https://huggingface.co/SanctumAI/Codestral-22B-v0.1-GGUF/blob/main/codestral-22b-v0.1.Q3_K_L.gguf) | Q3_K_L | 11.73 GB | ? |
| [codestral-22b-v0.1.Q4_0.gguf](https://huggingface.co/SanctumAI/Codestral-22B-v0.1-GGUF/blob/main/codestral-22b-v0.1.Q4_0.gguf) | Q4_0 | 12.57 GB | ? |
| [codestral-22b-v0.1.Q4_K_S.gguf](https://huggingface.co/SanctumAI/Codestral-22B-v0.1-GGUF/blob/main/codestral-22b-v0.1.Q4_K_S.gguf) | Q4_K_S | 12.66 GB | ? |
| [codestral-22b-v0.1.Q4_K_M.gguf](https://huggingface.co/SanctumAI/Codestral-22B-v0.1-GGUF/blob/main/codestral-22b-v0.1.Q4_K_M.gguf) | Q4_K_M | 13.34 GB | ? |
| [codestral-22b-v0.1.Q4_K.gguf](https://huggingface.co/SanctumAI/Codestral-22B-v0.1-GGUF/blob/main/codestral-22b-v0.1.Q4_K.gguf) | Q4_K | 13.34 GB | ? |
| [codestral-22b-v0.1.Q4_1.gguf](https://huggingface.co/SanctumAI/Codestral-22B-v0.1-GGUF/blob/main/codestral-22b-v0.1.Q4_1.gguf) | Q4_1 | 13.95 GB | ? |
| [codestral-22b-v0.1.Q5_0.gguf](https://huggingface.co/SanctumAI/Codestral-22B-v0.1-GGUF/blob/main/codestral-22b-v0.1.Q5_0.gguf) | Q5_0 | 15.32 GB | ? |
| [codestral-22b-v0.1.Q5_K_S.gguf](https://huggingface.co/SanctumAI/Codestral-22B-v0.1-GGUF/blob/main/codestral-22b-v0.1.Q5_K_S.gguf) | Q5_K_S | 15.32 GB | ? |
| [codestral-22b-v0.1.Q5_K_M.gguf](https://huggingface.co/SanctumAI/Codestral-22B-v0.1-GGUF/blob/main/codestral-22b-v0.1.Q5_K_M.gguf) | Q5_K_M | 15.72 GB | ? |
| [codestral-22b-v0.1.Q5_K.gguf](https://huggingface.co/SanctumAI/Codestral-22B-v0.1-GGUF/blob/main/codestral-22b-v0.1.Q5_K.gguf) | Q5_K | 15.72 GB | ? |
| [codestral-22b-v0.1.Q5_1.gguf](https://huggingface.co/SanctumAI/Codestral-22B-v0.1-GGUF/blob/main/codestral-22b-v0.1.Q5_1.gguf) | Q5_1 | 16.7 GB | ? |
| [codestral-22b-v0.1.Q6_K.gguf](https://huggingface.co/SanctumAI/Codestral-22B-v0.1-GGUF/blob/main/codestral-22b-v0.1.Q6_K.gguf) | Q6_K | 18.25 GB | ? |
| [codestral-22b-v0.1.Q8_0.gguf](https://huggingface.co/SanctumAI/Codestral-22B-v0.1-GGUF/blob/main/codestral-22b-v0.1.Q8_0.gguf) | Q8_0 | 23.64 GB | ? |
| [codestral-22b-v0.1.f16.gguf](https://huggingface.co/SanctumAI/Codestral-22B-v0.1-GGUF/blob/main/codestral-22b-v0.1.f16.gguf) | f16 | 44.5 GB | 49.76 GB |
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