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---
base_model: upstage/SOLAR-10.7B-Instruct-v1.0
inference: false
library_name: transformers
license: cc-by-nc-4.0
model_creator: upstage
model_name: Solar 10.7B Instruct v1.0
model_type: solar
datasets:
- c-s-ale/alpaca-gpt4-data
- Open-Orca/OpenOrca
- Intel/orca_dpo_pairs
- allenai/ultrafeedback_binarized_cleaned
language:
- en
pipeline_tag: text-generation
quantized_by: Second State Inc.
---
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<img src="https://github.com/second-state/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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# SOLAR-10.7B-Instruct-v1.0-GGUF
## Original Model
[upstage/SOLAR-10.7B-Instruct-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-Instruct-v1.0)
## Run with LlamaEdge
- LlamaEdge version: [v0.2.4](https://github.com/second-state/LlamaEdge/releases/tag/0.2.4)
- Prompt template
- Prompt type: `solar-instruct`
- Prompt string
```text
\### User:
{prompt}
\### Assistant:
```
Note that the `\` character is used to escape the `###` in the prompt string. Remove it in the practical use.
- Run as LlamaEdge service
```bash
wasmedge --dir .:. --nn-preload default:GGML:AUTO:solar-10.7b-instruct-v1.0.Q5_K_M.gguf llama-api-server.wasm -p solar-instruct
```
- Run as LlamaEdge command app
```bash
wasmedge --dir .:. --nn-preload default:GGML:AUTO:solar-10.7b-instruct-v1.0.Q5_K_M.gguf llama-chat.wasm -p solar-instruct
```
## Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [SOLAR-10.7B-Instruct-v1.0-Q2_K.gguf](https://huggingface.co/second-state/SOLAR-10.7B-Instruct-v1.0-GGUF/blob/main/SOLAR-10.7B-Instruct-v1.0-Q2_K.gguf) | Q2_K | 2 | 4.55 GB| smallest, significant quality loss - not recommended for most purposes |
| [SOLAR-10.7B-Instruct-v1.0-Q3_K_L.gguf](https://huggingface.co/second-state/SOLAR-10.7B-Instruct-v1.0-GGUF/blob/main/SOLAR-10.7B-Instruct-v1.0-Q3_K_L.gguf) | Q3_K_L | 3 | 5.65 GB| small, substantial quality loss |
| [SOLAR-10.7B-Instruct-v1.0-Q3_K_M.gguf](https://huggingface.co/second-state/SOLAR-10.7B-Instruct-v1.0-GGUF/blob/main/SOLAR-10.7B-Instruct-v1.0-Q3_K_M.gguf) | Q3_K_M | 3 | 5.19 GB| very small, high quality loss |
| [SOLAR-10.7B-Instruct-v1.0-Q3_K_S.gguf](https://huggingface.co/second-state/SOLAR-10.7B-Instruct-v1.0-GGUF/blob/main/SOLAR-10.7B-Instruct-v1.0-Q3_K_S.gguf) | Q3_K_S | 3 | 4.66 GB| very small, high quality loss |
| [SOLAR-10.7B-Instruct-v1.0-Q4_0.gguf](https://huggingface.co/second-state/SOLAR-10.7B-Instruct-v1.0-GGUF/blob/main/SOLAR-10.7B-Instruct-v1.0-Q4_0.gguf) | Q4_0 | 4 | 6.07 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [SOLAR-10.7B-Instruct-v1.0-Q4_K_M.gguf](https://huggingface.co/second-state/SOLAR-10.7B-Instruct-v1.0-GGUF/blob/main/SOLAR-10.7B-Instruct-v1.0-Q4_K_M.gguf) | Q4_K_M | 4 | 6.46 GB| medium, balanced quality - recommended |
| [SOLAR-10.7B-Instruct-v1.0-Q4_K_S.gguf](https://huggingface.co/second-state/SOLAR-10.7B-Instruct-v1.0-GGUF/blob/main/SOLAR-10.7B-Instruct-v1.0-Q4_K_S.gguf) | Q4_K_S | 4 | 6.1 GB| small, greater quality loss |
| [SOLAR-10.7B-Instruct-v1.0-Q5_0.gguf](https://huggingface.co/second-state/SOLAR-10.7B-Instruct-v1.0-GGUF/blob/main/SOLAR-10.7B-Instruct-v1.0-Q5_0.gguf) | Q5_0 | 5 | 7.4 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [SOLAR-10.7B-Instruct-v1.0-Q5_K_M.gguf](https://huggingface.co/second-state/SOLAR-10.7B-Instruct-v1.0-GGUF/blob/main/SOLAR-10.7B-Instruct-v1.0-Q5_K_M.gguf) | Q5_K_M | 5 | 7.6 GB| large, very low quality loss - recommended |
| [SOLAR-10.7B-Instruct-v1.0-Q5_K_S.gguf](https://huggingface.co/second-state/SOLAR-10.7B-Instruct-v1.0-GGUF/blob/main/SOLAR-10.7B-Instruct-v1.0-Q5_K_S.gguf) | Q5_K_S | 5 | 7.4 GB| large, low quality loss - recommended |
| [SOLAR-10.7B-Instruct-v1.0-Q6_K.gguf](https://huggingface.co/second-state/SOLAR-10.7B-Instruct-v1.0-GGUF/blob/main/SOLAR-10.7B-Instruct-v1.0-Q6_K.gguf) | Q6_K | 6 | 8.81 GB| very large, extremely low quality loss |
| [SOLAR-10.7B-Instruct-v1.0-Q8_0.gguf](https://huggingface.co/second-state/SOLAR-10.7B-Instruct-v1.0-GGUF/blob/main/SOLAR-10.7B-Instruct-v1.0-Q8_0.gguf) | Q8_0 | 8 | 11.4 GB| very large, extremely low quality loss - not recommended |
|