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---
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
inference: false
library_name: transformers
license: apache-2.0
model_creator: TinyLlama
model_name: Tinyllama 1.1B Chat v1.0
model_type: tinyllama
pipeline_tag: text-generation
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;">
</div>
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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# TinyLlama-1.1B-Chat-v1.0-GGUF
## Original Model
[TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0)
## Run with LlamaEdge
- LlamaEdge version: [v0.12.3](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.12.3) 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: `2048`
- Run as LlamaEdge service
```bash
wasmedge --dir .:. --nn-preload default:GGML:AUTO:TinyLlama-1.1B-Chat-v1.0-Q5_K_M.gguf \
llama-api-server.wasm \
--prompt-template zephyr \
--ctx-size 2048 \
--model-name TinyLlama-1.1B-Chat
```
- Run as LlamaEdge command app
```bash
wasmedge --dir .:. --nn-preload default:GGML:AUTO:TinyLlama-1.1B-Chat-v1.0-Q5_K_M.gguf \
llama-chat.wasm \
--prompt-template zephyr \
--ctx-size 2048
```
## Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [TinyLlama-1.1B-Chat-v1.0-Q2_K.gguf](https://huggingface.co/second-state/TinyLlama-1.1B-Chat-v1.0-GGUF/blob/main/TinyLlama-1.1B-Chat-v1.0-Q2_K.gguf) | Q2_K | 2 | 482 MB| smallest, significant quality loss - not recommended for most purposes |
| [TinyLlama-1.1B-Chat-v1.0-Q3_K_L.gguf](https://huggingface.co/second-state/TinyLlama-1.1B-Chat-v1.0-GGUF/blob/main/TinyLlama-1.1B-Chat-v1.0-Q3_K_L.gguf) | Q3_K_L | 3 | 592 MB| small, substantial quality loss |
| [TinyLlama-1.1B-Chat-v1.0-Q3_K_M.gguf](https://huggingface.co/second-state/TinyLlama-1.1B-Chat-v1.0-GGUF/blob/main/TinyLlama-1.1B-Chat-v1.0-Q3_K_M.gguf) | Q3_K_M | 3 | 550 MB| very small, high quality loss |
| [TinyLlama-1.1B-Chat-v1.0-Q3_K_S.gguf](https://huggingface.co/second-state/TinyLlama-1.1B-Chat-v1.0-GGUF/blob/main/TinyLlama-1.1B-Chat-v1.0-Q3_K_S.gguf) | Q3_K_S | 3 | 499 MB| very small, high quality loss |
| [TinyLlama-1.1B-Chat-v1.0-Q4_0.gguf](https://huggingface.co/second-state/TinyLlama-1.1B-Chat-v1.0-GGUF/blob/main/TinyLlama-1.1B-Chat-v1.0-Q4_0.gguf) | Q4_0 | 4 | 637 MB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [TinyLlama-1.1B-Chat-v1.0-Q4_K_M.gguf](https://huggingface.co/second-state/TinyLlama-1.1B-Chat-v1.0-GGUF/blob/main/TinyLlama-1.1B-Chat-v1.0-Q4_K_M.gguf) | Q4_K_M | 4 | 668 MB| medium, balanced quality - recommended |
| [TinyLlama-1.1B-Chat-v1.0-Q4_K_S.gguf](https://huggingface.co/second-state/TinyLlama-1.1B-Chat-v1.0-GGUF/blob/main/TinyLlama-1.1B-Chat-v1.0-Q4_K_S.gguf) | Q4_K_S | 4 | 643 MB| small, greater quality loss |
| [TinyLlama-1.1B-Chat-v1.0-Q5_0.gguf](https://huggingface.co/second-state/TinyLlama-1.1B-Chat-v1.0-GGUF/blob/main/TinyLlama-1.1B-Chat-v1.0-Q5_0.gguf) | Q5_0 | 5 | 766 MB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [TinyLlama-1.1B-Chat-v1.0-Q5_K_M.gguf](https://huggingface.co/second-state/TinyLlama-1.1B-Chat-v1.0-GGUF/blob/main/TinyLlama-1.1B-Chat-v1.0-Q5_K_M.gguf) | Q5_K_M | 5 | 782 MB| large, very low quality loss - recommended |
| [TinyLlama-1.1B-Chat-v1.0-Q5_K_S.gguf](https://huggingface.co/second-state/TinyLlama-1.1B-Chat-v1.0-GGUF/blob/main/TinyLlama-1.1B-Chat-v1.0-Q5_K_S.gguf) | Q5_K_S | 5 | 766 MB| large, low quality loss - recommended |
| [TinyLlama-1.1B-Chat-v1.0-Q6_K.gguf](https://huggingface.co/second-state/TinyLlama-1.1B-Chat-v1.0-GGUF/blob/main/TinyLlama-1.1B-Chat-v1.0-Q6_K.gguf) | Q6_K | 6 | 903 MB| very large, extremely low quality loss |
| [TinyLlama-1.1B-Chat-v1.0-Q8_0.gguf](https://huggingface.co/second-state/TinyLlama-1.1B-Chat-v1.0-GGUF/blob/main/TinyLlama-1.1B-Chat-v1.0-Q8_0.gguf) | Q8_0 | 8 | 1.17 GB| very large, extremely low quality loss - not recommended |