---
base_model: berkeley-nest/Starling-LM-7B-alpha
datasets:
- berkeley-nest/Nectar
inference: false
library_name: transformers
license: cc-by-nc-4.0
model_creator: Berkeley-Nest
model_name: Starling LM 7B Alpha
model_type: mistral
pipeline_tag: text-generation
quantized_by: Second State Inc.
language:
- en
tags:
- reward model
- RLHF
- RLAIF
---

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# Starling-LM-7B-alpha-GGUF

## Original Model

[berkeley-nest/Starling-LM-7B-alpha](https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha)

## Run with LlamaEdge

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

- Prompt template

  - Prompt type: `openchat`

  - Prompt string

    ```text
    GPT4 User: {prompt}<|end_of_turn|>GPT4 Assistant:
    ```

  - Reverse prompt: `<|end_of_turn|>`

- Context size: `4096`

- Run as LlamaEdge service

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:starling-lm-7b-alpha.Q5_K_M.gguf llama-api-server.wasm -p openchat -r '<|end_of_turn|>'
  ```

- Run as LlamaEdge command app

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:starling-lm-7b-alpha.Q5_K_M.gguf llama-chat.wasm -p openchat -r '<|end_of_turn|>'
  ```

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [Starling-LM-7B-alpha-Q2_K.gguf](https://huggingface.co/second-state/Starling-LM-7B-alpha-GGUF/blob/main/Starling-LM-7B-alpha-Q2_K.gguf)     | Q2_K   | 2 | 2.7 GB| smallest, significant quality loss - not recommended for most purposes |
| [Starling-LM-7B-alpha-Q3_K_L.gguf](https://huggingface.co/second-state/Starling-LM-7B-alpha-GGUF/blob/main/Starling-LM-7B-alpha-Q3_K_L.gguf) | Q3_K_L | 3 | 3.82 GB| small, substantial quality loss |
| [Starling-LM-7B-alpha-Q3_K_M.gguf](https://huggingface.co/second-state/Starling-LM-7B-alpha-GGUF/blob/main/Starling-LM-7B-alpha-Q3_K_M.gguf) | Q3_K_M | 3 | 3.52 GB| very small, high quality loss |
| [Starling-LM-7B-alpha-Q3_K_S.gguf](https://huggingface.co/second-state/Starling-LM-7B-alpha-GGUF/blob/main/Starling-LM-7B-alpha-Q3_K_S.gguf) | Q3_K_S | 3 | 3.16 GB| very small, high quality loss |
| [Starling-LM-7B-alpha-Q4_0.gguf](https://huggingface.co/second-state/Starling-LM-7B-alpha-GGUF/blob/main/Starling-LM-7B-alpha-Q4_0.gguf)     | Q4_0   | 4 | 4.11 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [Starling-LM-7B-alpha-Q4_K_M.gguf](https://huggingface.co/second-state/Starling-LM-7B-alpha-GGUF/blob/main/Starling-LM-7B-alpha-Q4_K_M.gguf) | Q4_K_M | 4 | 4.37 GB| medium, balanced quality - recommended |
| [Starling-LM-7B-alpha-Q4_K_S.gguf](https://huggingface.co/second-state/Starling-LM-7B-alpha-GGUF/blob/main/Starling-LM-7B-alpha-Q4_K_S.gguf) | Q4_K_S | 4 | 4.14 GB| small, greater quality loss |
| [Starling-LM-7B-alpha-Q5_0.gguf](https://huggingface.co/second-state/Starling-LM-7B-alpha-GGUF/blob/main/Starling-LM-7B-alpha-Q5_0.gguf)     | Q5_0   | 5 | 5.00 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [Starling-LM-7B-alpha-Q5_K_M.gguf](https://huggingface.co/second-state/Starling-LM-7B-alpha-GGUF/blob/main/Starling-LM-7B-alpha-Q5_K_M.gguf) | Q5_K_M | 5 | 5.13 GB| large, very low quality loss - recommended |
| [Starling-LM-7B-alpha-Q5_K_S.gguf](https://huggingface.co/second-state/Starling-LM-7B-alpha-GGUF/blob/main/Starling-LM-7B-alpha-Q5_K_S.gguf) | Q5_K_S | 5 | 5.00 GB| large, low quality loss - recommended |
| [Starling-LM-7B-alpha-Q6_K.gguf](https://huggingface.co/second-state/Starling-LM-7B-alpha-GGUF/blob/main/Starling-LM-7B-alpha-Q6_K.gguf)     | Q6_K   | 6 | 5.94 GB| very large, extremely low quality loss |
| [Starling-LM-7B-alpha-Q8_0.gguf](https://huggingface.co/second-state/Starling-LM-7B-alpha-GGUF/blob/main/Starling-LM-7B-alpha-Q8_0.gguf)     | Q8_0   | 8 | 7.70 GB| very large, extremely low quality loss - not recommended |