---
base_model: ehartford/dolphin-2_2-yi-34b
datasets:
- ehartford/dolphin
- jondurbin/airoboros-2.2.1
- ehartford/samantha-data
- ehartford/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split
inference: false
language:
- en
license: other
license_link: LICENSE
license_name: yi-license
model_creator: Eric Hartford
model_name: Dolphin 2.2 Yi 34B
model_type: yi
pipeline_tag: text-generation
quantized_by: Second State Inc.
---

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# Dolphin-2.2-Yi-34B-GGUF

## Original Model

[ehartford/dolphin-2_2-yi-34b](https://huggingface.co/cognitivecomputations/dolphin-2_2-yi-34b)

## 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
    ```

  - Reverse prompt: `<|im_end|>`

- Context size: `7168`

- Run as LlamaEdge service

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:dolphin-2_2-yi-34b-Q5_K_M.gguf llama-api-server.wasm -p chatml -r '<|im_end|>'
  ```

- Run as LlamaEdge command app

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:dolphin-2_2-yi-34b-Q5_K_M.gguf llama-chat.wasm -p chatml -r '<|im_end|>' -s 'You are a helpful AI assistant'
  ```

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [dolphin-2_2-yi-34b-Q2_K.gguf](https://huggingface.co/second-state/Dolphin-2.2-Yi-34B-GGUF/blob/main/dolphin-2_2-yi-34b-Q2_K.gguf)     | Q2_K   | 2 | 12.8 GB| smallest, significant quality loss - not recommended for most purposes |
| [dolphin-2_2-yi-34b-Q3_K_L.gguf](https://huggingface.co/second-state/Dolphin-2.2-Yi-34B-GGUF/blob/main/dolphin-2_2-yi-34b-Q3_K_L.gguf) | Q3_K_L | 3 | 18.1 GB| small, substantial quality loss |
| [dolphin-2_2-yi-34b-Q3_K_M.gguf](https://huggingface.co/second-state/Dolphin-2.2-Yi-34B-GGUF/blob/main/dolphin-2_2-yi-34b-Q3_K_M.gguf) | Q3_K_M | 3 | 16.7 GB| very small, high quality loss |
| [dolphin-2_2-yi-34b-Q3_K_S.gguf](https://huggingface.co/second-state/Dolphin-2.2-Yi-34B-GGUF/blob/main/dolphin-2_2-yi-34b-Q3_K_S.gguf) | Q3_K_S | 3 | 15.0 GB| very small, high quality loss |
| [dolphin-2_2-yi-34b-Q4_0.gguf](https://huggingface.co/second-state/Dolphin-2.2-Yi-34B-GGUF/blob/main/dolphin-2_2-yi-34b-Q4_0.gguf)     | Q4_0   | 4 | 19.5 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [dolphin-2_2-yi-34b-Q4_K_M.gguf](https://huggingface.co/second-state/Dolphin-2.2-Yi-34B-GGUF/blob/main/dolphin-2_2-yi-34b-Q4_K_M.gguf) | Q4_K_M | 4 | 20.7 GB| medium, balanced quality - recommended |
| [dolphin-2_2-yi-34b-Q4_K_S.gguf](https://huggingface.co/second-state/Dolphin-2.2-Yi-34B-GGUF/blob/main/dolphin-2_2-yi-34b-Q4_K_S.gguf) | Q4_K_S | 4 | 19.6 GB| small, greater quality loss |
| [dolphin-2_2-yi-34b-Q5_0.gguf](https://huggingface.co/second-state/Dolphin-2.2-Yi-34B-GGUF/blob/main/dolphin-2_2-yi-34b-Q5_0.gguf)     | Q5_0   | 5 | 23.7 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [dolphin-2_2-yi-34b-Q5_K_M.gguf](https://huggingface.co/second-state/Dolphin-2.2-Yi-34B-GGUF/blob/main/dolphin-2_2-yi-34b-Q5_K_M.gguf) | Q5_K_M | 5 | 24.3 GB| large, very low quality loss - recommended |
| [dolphin-2_2-yi-34b-Q5_K_S.gguf](https://huggingface.co/second-state/Dolphin-2.2-Yi-34B-GGUF/blob/main/dolphin-2_2-yi-34b-Q5_K_S.gguf) | Q5_K_S | 5 | 23.7 GB| large, low quality loss - recommended |
| [dolphin-2_2-yi-34b-Q6_K.gguf](https://huggingface.co/second-state/Dolphin-2.2-Yi-34B-GGUF/blob/main/dolphin-2_2-yi-34b-Q6_K.gguf)     | Q6_K   | 6 | 28.2 GB| very large, extremely low quality loss |
| [dolphin-2_2-yi-34b-Q8_0.gguf](https://huggingface.co/second-state/Dolphin-2.2-Yi-34B-GGUF/blob/main/dolphin-2_2-yi-34b-Q8_0.gguf)     | Q8_0   | 8 | 36.5 GB| very large, extremely low quality loss - not recommended |