---
base_model: cognitivecomputations/dolphin-2.7-mixtral-8x7b
datasets:
- ehartford/dolphin
- jondurbin/airoboros-2.2.1
- ehartford/dolphin-coder
- teknium/openhermes
- ise-uiuc/Magicoder-OSS-Instruct-75K
- ise-uiuc/Magicoder-Evol-Instruct-110K
- LDJnr/Capybara
inference: false
language:
- en
license: apache-2.0
model_creator: Cognitive Computations
model_name: Dolphin 2.7 Mixtral 8X7B
model_type: mixtral
quantized_by: Second State Inc.
---

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# Dolphin-2.7-mixtral-8x7b-GGUF

## Original Model

[cognitivecomputations/dolphin-2.7-mixtral-8x7b](https://huggingface.co/cognitivecomputations/dolphin-2.7-mixtral-8x7b)

## Run with LlamaEdge

- LlamaEdge version: [v0.2.8](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.2.8) and above

- Prompt template

  - Prompt type: `chatml`

  - Prompt string

    ```text
    <|im_start|>system
    {system_message}<|im_end|>
    <|im_start|>user
    {prompt}<|im_end|>
    <|im_start|>assistant
    ```

- Context size: `4096`

- Run as LlamaEdge service

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:dolphin-2.7-mixtral-8x7b-Q5_K_M.gguf llama-api-server.wasm -p chatml
  ```

- Run as LlamaEdge command app

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:dolphin-2.7-mixtral-8x7b-Q5_K_M.gguf llama-chat.wasm -p chatml
  ```

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [dolphin-2.7-mixtral-8x7b-Q2_K.gguf](https://huggingface.co/second-state/Dolphin-2.7-mixtral-8x7b-GGUF/blob/main/dolphin-2.7-mixtral-8x7b-Q2_K.gguf)     | Q2_K   | 2 | 15.6 GB| smallest, significant quality loss - not recommended for most purposes |
| [dolphin-2.7-mixtral-8x7b-Q3_K_L.gguf](https://huggingface.co/second-state/Dolphin-2.7-mixtral-8x7b-GGUF/blob/main/dolphin-2.7-mixtral-8x7b-Q3_K_L.gguf) | Q3_K_L | 3 | 20.4 GB| small, substantial quality loss |
| [dolphin-2.7-mixtral-8x7b-Q3_K_M.gguf](https://huggingface.co/second-state/Dolphin-2.7-mixtral-8x7b-GGUF/blob/main/dolphin-2.7-mixtral-8x7b-Q3_K_M.gguf) | Q3_K_M | 3 | 20.4 GB| very small, high quality loss |
| [dolphin-2.7-mixtral-8x7b-Q3_K_S.gguf](https://huggingface.co/second-state/Dolphin-2.7-mixtral-8x7b-GGUF/blob/main/dolphin-2.7-mixtral-8x7b-Q3_K_S.gguf) | Q3_K_S | 3 | 20.3 GB| very small, high quality loss |
| [dolphin-2.7-mixtral-8x7b-Q4_0.gguf](https://huggingface.co/second-state/Dolphin-2.7-mixtral-8x7b-GGUF/blob/main/dolphin-2.7-mixtral-8x7b-Q4_0.gguf)     | Q4_0   | 4 | 26.4 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [dolphin-2.7-mixtral-8x7b-Q4_K_M.gguf](https://huggingface.co/second-state/Dolphin-2.7-mixtral-8x7b-GGUF/blob/main/dolphin-2.7-mixtral-8x7b-Q4_K_M.gguf) | Q4_K_M | 4 | 26.4 GB| medium, balanced quality - recommended |
| [dolphin-2.7-mixtral-8x7b-Q4_K_S.gguf](https://huggingface.co/second-state/Dolphin-2.7-mixtral-8x7b-GGUF/blob/main/dolphin-2.7-mixtral-8x7b-Q4_K_S.gguf) | Q4_K_S | 4 | 26.4 GB| small, greater quality loss |
| [dolphin-2.7-mixtral-8x7b-Q5_0.gguf](https://huggingface.co/second-state/Dolphin-2.7-mixtral-8x7b-GGUF/blob/main/dolphin-2.7-mixtral-8x7b-Q5_0.gguf)     | Q5_0   | 5 | 32.2 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [dolphin-2.7-mixtral-8x7b-Q5_K_M.gguf](https://huggingface.co/second-state/Dolphin-2.7-mixtral-8x7b-GGUF/blob/main/dolphin-2.7-mixtral-8x7b-Q5_K_M.gguf) | Q5_K_M | 5 | 32.2 GB| large, very low quality loss - recommended |
| [dolphin-2.7-mixtral-8x7b-Q5_K_S.gguf](https://huggingface.co/second-state/Dolphin-2.7-mixtral-8x7b-GGUF/blob/main/dolphin-2.7-mixtral-8x7b-Q5_K_S.gguf) | Q5_K_S | 5 | 32.2 GB| large, low quality loss - recommended |
| [dolphin-2.7-mixtral-8x7b-Q6_K.gguf](https://huggingface.co/second-state/Dolphin-2.7-mixtral-8x7b-GGUF/blob/main/dolphin-2.7-mixtral-8x7b-Q6_K.gguf)     | Q6_K   | 6 | 38.4 GB| very large, extremely low quality loss |
| [dolphin-2.7-mixtral-8x7b-Q8_0.gguf](https://huggingface.co/second-state/Dolphin-2.7-mixtral-8x7b-GGUF/blob/main/dolphin-2.7-mixtral-8x7b-Q8_0.gguf)     | Q8_0   | 8 | 49.6 GB| very large, extremely low quality loss - not recommended |