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Model: second-state/openchat-3.5-1210-GGUF
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---
base_model: openchat/openchat-3.5-1210
inference: false
library_name: transformers
license: apache-2.0
model_creator: OpenChat
model_name: Openchat 3.5 1210
model_type: mistral
pipeline_tag: text-generation
quantized_by: Second State Inc.
tags:
- openchat
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<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;">
<!-- header end -->
# OpenChat-3.5-1210-GGUF
## Original Model
[openchat/openchat-3.5-1210](https://huggingface.co/openchat/openchat-3.5-1210)
## 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:openchat-3.5-1210-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:openchat-3.5-1210-Q5_K_M.gguf llama-chat.wasm -p openchat -r '<|end_of_turn|>'
```
## Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [openchat-3.5-1210-Q2_K.gguf](https://huggingface.co/second-state/openchat-3.5-1210-GGUF/blob/main/openchat-3.5-1210-Q2_K.gguf) | Q2_K | 2 | 3.08 GB| smallest, significant quality loss - not recommended for most purposes |
| [openchat-3.5-1210-Q3_K_L.gguf](https://huggingface.co/second-state/openchat-3.5-1210-GGUF/blob/main/openchat-3.5-1210-Q3_K_L.gguf) | Q3_K_L | 3 | 3.82 GB| small, substantial quality loss |
| [openchat-3.5-1210-Q3_K_M.gguf](https://huggingface.co/second-state/openchat-3.5-1210-GGUF/blob/main/openchat-3.5-1210-Q3_K_M.gguf) | Q3_K_M | 3 | 3.52 GB| very small, high quality loss |
| [openchat-3.5-1210-Q3_K_S.gguf](https://huggingface.co/second-state/openchat-3.5-1210-GGUF/blob/main/openchat-3.5-1210-Q3_K_S.gguf) | Q3_K_S | 3 | 3.16 GB| very small, high quality loss |
| [openchat-3.5-1210-Q4_0.gguf](https://huggingface.co/second-state/openchat-3.5-1210-GGUF/blob/main/openchat-3.5-1210-Q4_0.gguf) | Q4_0 | 4 | 4.11 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [openchat-3.5-1210-Q4_K_M.gguf](https://huggingface.co/second-state/openchat-3.5-1210-GGUF/blob/main/openchat-3.5-1210-Q4_K_M.gguf) | Q4_K_M | 4 | 4.37 GB| medium, balanced quality - recommended |
| [openchat-3.5-1210-Q4_K_S.gguf](https://huggingface.co/second-state/openchat-3.5-1210-GGUF/blob/main/openchat-3.5-1210-Q4_K_S.gguf) | Q4_K_S | 4 | 4.14 GB| small, greater quality loss |
| [openchat-3.5-1210-Q5_0.gguf](https://huggingface.co/second-state/openchat-3.5-1210-GGUF/blob/main/openchat-3.5-1210-Q5_0.gguf) | Q5_0 | 5 | 5.00 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [openchat-3.5-1210-Q5_K_M.gguf](https://huggingface.co/second-state/openchat-3.5-1210-GGUF/blob/main/openchat-3.5-1210-Q5_K_M.gguf) | Q5_K_M | 5 | 5.13 GB| large, very low quality loss - recommended |
| [openchat-3.5-1210-Q5_K_S.gguf](https://huggingface.co/second-state/openchat-3.5-1210-GGUF/blob/main/openchat-3.5-1210-Q5_K_S.gguf) | Q5_K_S | 5 | 5.00 GB| large, low quality loss - recommended |
| [openchat-3.5-1210-Q6_K.gguf](https://huggingface.co/second-state/openchat-3.5-1210-GGUF/blob/main/openchat-3.5-1210-Q6_K.gguf) | Q6_K | 6 | 5.94 GB| very large, extremely low quality loss |
| [openchat-3.5-1210-Q8_0.gguf](https://huggingface.co/second-state/openchat-3.5-1210-GGUF/blob/main/openchat-3.5-1210-Q8_0.gguf) | Q8_0 | 8 | 7.70 GB| very large, extremely low quality loss - not recommended |

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"architectures": [
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],
"bos_token_id": 1,
"eos_token_id": 32000,
"hidden_act": "silu",
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 14336,
"max_position_embeddings": 8192,
"model_type": "mistral",
"num_attention_heads": 32,
"num_hidden_layers": 32,
"num_key_value_heads": 8,
"rms_norm_eps": 1e-05,
"rope_theta": 10000.0,
"sliding_window": 4096,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.35.2",
"use_cache": true,
"vocab_size": 32002
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