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---
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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<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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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 |
|