metadata

base_model: Intel/neural-chat-7b-v3-3
inference: false
license: apache-2.0
model_creator: Intel
model_name: Neural Chat 7B V3-3
model_type: mistral
pipeline_tag: text-generation
quantized_by: Second State Inc.

Neural-Chat-7B-v3-3-GGUF

Original Model

Intel/neural-chat-7b-v3-3

Run with LlamaEdge

LlamaEdge version: v0.2.8 and above
Prompt template
- Prompt type: intel-neural
- Prompt string
```
\### System:
{system}
\### User:
{usr}
\### Assistant:
```
  Note that the \ character is used to escape the ### in the prompt string. Remove it in the practical use.
Context size: 4096

Run as LlamaEdge service

wasmedge --dir .:. --nn-preload default:GGML:AUTO:neural-chat-7b-v3-3-Q5_K_M.gguf llama-api-server.wasm -p intel-neural

Run as LlamaEdge command app

wasmedge --dir .:. --nn-preload default:GGML:AUTO:neural-chat-7b-v3-3-Q5_K_M.gguf llama-chat.wasm -p intel-neural

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
neural-chat-7b-v3-3-Q2_K.gguf	Q2_K	2	3.08 GB	smallest, significant quality loss - not recommended for most purposes
neural-chat-7b-v3-3-Q3_K_L.gguf	Q3_K_L	3	3.82 GB	small, substantial quality loss
neural-chat-7b-v3-3-Q3_K_M.gguf	Q3_K_M	3	3.52 GB	very small, high quality loss
neural-chat-7b-v3-3-Q3_K_S.gguf	Q3_K_S	3	3.16 GB	very small, high quality loss
neural-chat-7b-v3-3-Q4_0.gguf	Q4_0	4	4.11 GB	legacy; small, very high quality loss - prefer using Q3_K_M
neural-chat-7b-v3-3-Q4_K_M.gguf	Q4_K_M	4	4.37 GB	medium, balanced quality - recommended
neural-chat-7b-v3-3-Q4_K_S.gguf	Q4_K_S	4	4.14 GB	small, greater quality loss
neural-chat-7b-v3-3-Q5_0.gguf	Q5_0	5	5.00 GB	legacy; medium, balanced quality - prefer using Q4_K_M
neural-chat-7b-v3-3-Q5_K_M.gguf	Q5_K_M	5	5.13 GB	large, very low quality loss - recommended
neural-chat-7b-v3-3-Q5_K_S.gguf	Q5_K_S	5	5.00 GB	large, low quality loss - recommended
neural-chat-7b-v3-3-Q6_K.gguf	Q6_K	6	5.94 GB	very large, extremely low quality loss
neural-chat-7b-v3-3-Q8_0.gguf	Q8_0	8	7.70 GB	very large, extremely low quality loss - not recommended