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Model: second-state/dolphin-2.6-mistral-7B-GGUF Source: Original Platform
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README.md
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README.md
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base_model: cognitivecomputations/dolphin-2.6-mistral-7b
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inference: false
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library_name: transformers
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license: apache-2.0
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model_creator: Cognitive Computations
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model_name: Dolphin 2.6 Mistral
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datasets:
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- ehartford/dolphin
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- jondurbin/airoboros-2.2.1
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- ehartford/dolphin-coder
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- teknium/openhermes
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- ise-uiuc/Magicoder-OSS-Instruct-75K
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- ise-uiuc/Magicoder-Evol-Instruct-110K
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- LDJnr/Capybara
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language:
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- en
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quantized_by: Second State Inc.
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---
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<!-- header start -->
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<!-- 200823 -->
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<div style="width: auto; margin-left: auto; margin-right: auto">
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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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</div>
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<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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<!-- header end -->
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# Dolphin-2.6-Mistral-7B-GGUF
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## Original Model
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[cognitivecomputations/dolphin-2.6-mistral-7b](https://huggingface.co/cognitivecomputations/dolphin-2.6-mistral-7b)
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## Run with LlamaEdge
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- LlamaEdge version: [v0.2.8](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.2.8) and above
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- Prompt template
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- Prompt type: `chatml`
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- Prompt string
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```text
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<|im_start|>system
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{system_message}<|im_end|>
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<|im_start|>user
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{prompt}<|im_end|>
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<|im_start|>assistant
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```
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- Context size: `4096`
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- Run as LlamaEdge service
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```bash
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wasmedge --dir .:. --nn-preload default:GGML:AUTO:dolphin-2.6-mistral-7b-Q5_K_M.gguf llama-api-server.wasm -p chatml
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```
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- Run as LlamaEdge command app
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```bash
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wasmedge --dir .:. --nn-preload default:GGML:AUTO:dolphin-2.6-mistral-7b-Q5_K_M.gguf llama-chat.wasm -p chatml
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```
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## Quantized GGUF Models
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| Name | Quant method | Bits | Size | Use case |
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| ---- | ---- | ---- | ---- | ----- |
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| [dolphin-2.6-mistral-7b-Q2_K.gguf](https://huggingface.co/second-state/dolphin-2.6-mistral-7B-GGUF/blob/main/dolphin-2.6-mistral-7b-Q2_K.gguf) | Q2_K | 2 | 3.08 GB| smallest, significant quality loss - not recommended for most purposes |
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| [dolphin-2.6-mistral-7b-Q3_K_L.gguf](https://huggingface.co/second-state/dolphin-2.6-mistral-7B-GGUF/blob/main/dolphin-2.6-mistral-7b-Q3_K_L.gguf) | Q3_K_L | 3 | 3.2 GB| small, substantial quality loss |
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| [dolphin-2.6-mistral-7b-Q3_K_M.gguf](https://huggingface.co/second-state/dolphin-2.6-mistral-7B-GGUF/blob/main/dolphin-2.6-mistral-7b-Q3_K_M.gguf) | Q3_K_M | 3 | 3.52 GB| very small, high quality loss |
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| [dolphin-2.6-mistral-7b-Q3_K_S.gguf](https://huggingface.co/second-state/dolphin-2.6-mistral-7B-GGUF/blob/main/dolphin-2.6-mistral-7b-Q3_K_S.gguf) | Q3_K_S | 3 | 3.16 GB| very small, high quality loss |
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| [dolphin-2.6-mistral-7b-Q4_0.gguf](https://huggingface.co/second-state/dolphin-2.6-mistral-7B-GGUF/blob/main/dolphin-2.6-mistral-7b-Q4_0.gguf) | Q4_0 | 4 | 4.11 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
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| [dolphin-2.6-mistral-7b-Q4_K_M.gguf](https://huggingface.co/second-state/dolphin-2.6-mistral-7B-GGUF/blob/main/dolphin-2.6-mistral-7b-Q4_K_M.gguf) | Q4_K_M | 4 | 4.37 GB| medium, balanced quality - recommended |
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| [dolphin-2.6-mistral-7b-Q4_K_S.gguf](https://huggingface.co/second-state/dolphin-2.6-mistral-7B-GGUF/blob/main/dolphin-2.6-mistral-7b-Q4_K_S.gguf) | Q4_K_S | 4 | 4.14 GB| small, greater quality loss |
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| [dolphin-2.6-mistral-7b-Q5_0.gguf](https://huggingface.co/second-state/dolphin-2.6-mistral-7B-GGUF/blob/main/dolphin-2.6-mistral-7b-Q5_0.gguf) | Q5_0 | 5 | 5 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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| [dolphin-2.6-mistral-7b-Q5_K_M.gguf](https://huggingface.co/second-state/dolphin-2.6-mistral-7B-GGUF/blob/main/dolphin-2.6-mistral-7b-Q5_K_M.gguf) | Q5_K_M | 5 | 5.13 GB| large, very low quality loss - recommended |
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| [dolphin-2.6-mistral-7b-Q5_K_S.gguf](https://huggingface.co/second-state/dolphin-2.6-mistral-7B-GGUF/blob/main/dolphin-2.6-mistral-7b-Q5_K_S.gguf) | Q5_K_S | 5 | 5 GB| large, low quality loss - recommended |
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| [dolphin-2.6-mistral-7b-Q6_K.gguf](https://huggingface.co/second-state/dolphin-2.6-mistral-7B-GGUF/blob/main/dolphin-2.6-mistral-7b-Q6_K.gguf) | Q6_K | 6 | 5.94 GB| very large, extremely low quality loss |
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| [dolphin-2.6-mistral-7b-Q8_0.gguf](https://huggingface.co/second-state/dolphin-2.6-mistral-7B-GGUF/blob/main/dolphin-2.6-mistral-7b-Q8_0.gguf) | Q8_0 | 8 | 7.7 GB| very large, extremely low quality loss - not recommended |
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