metadata

base_model: teknium/OpenHermes-2.5-Mistral-7B
inference: false
language:
  - en
license: apache-2.0
model-index:
  - name: OpenHermes-2-Mistral-7B
    results: []
model_creator: Teknium
model_name: Openhermes 2.5 Mistral 7B
model_type: mistral
tags:
  - mistral
  - instruct
  - finetune
  - chatml
  - gpt4
  - synthetic data
  - distillation
quantized_by: Second State Inc.

OpenHermes-2.5-Mistral-7B-GGUF

Original Model

teknium/OpenHermes-2.5-Mistral-7B

Run with LlamaEdge

LlamaEdge version: v0.2.8 and above

Prompt template

Prompt type: chatml

Prompt string

<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

Reverse prompt: <|im_end|>

Run as LlamaEdge service

wasmedge --dir .:. --nn-preload default:GGML:AUTO:OpenHermes-2.5-Mistral-7B-Q5_K_M.gguf llama-api-server.wasm -p chatml -r '<|im_end|>'

Context size: 4096

Run as LlamaEdge command app

wasmedge --dir .:. --nn-preload default:GGML:AUTO:OpenHermes-2.5-Mistral-7B-Q5_K_M.gguf llama-chat.wasm -p chatml -r '<|im_end|>'

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
OpenHermes-2.5-Mistral-7B-Q2_K.gguf	Q2_K	2	3.08 GB	smallest, significant quality loss - not recommended for most purposes
OpenHermes-2.5-Mistral-7B-Q3_K_L.gguf	Q3_K_L	3	3.82 GB	small, substantial quality loss
OpenHermes-2.5-Mistral-7B-Q3_K_M.gguf	Q3_K_M	3	3.52 GB	very small, high quality loss
OpenHermes-2.5-Mistral-7B-Q3_K_S.gguf	Q3_K_S	3	3.16 GB	very small, high quality loss
OpenHermes-2.5-Mistral-7B-Q4_0.gguf	Q4_0	4	4.11 GB	legacy; small, very high quality loss - prefer using Q3_K_M
OpenHermes-2.5-Mistral-7B-Q4_K_M.gguf	Q4_K_M	4	4.37 GB	medium, balanced quality - recommended
OpenHermes-2.5-Mistral-7B-Q4_K_S.gguf	Q4_K_S	4	4.14 GB	small, greater quality loss
OpenHermes-2.5-Mistral-7B-Q5_0.gguf	Q5_0	5	5 GB	legacy; medium, balanced quality - prefer using Q4_K_M
OpenHermes-2.5-Mistral-7B-Q5_K_M.gguf	Q5_K_M	5	5.13 GB	large, very low quality loss - recommended
OpenHermes-2.5-Mistral-7B-Q5_K_S.gguf	Q5_K_S	5	5 GB	large, low quality loss - recommended
OpenHermes-2.5-Mistral-7B-Q6_K.gguf	Q6_K	6	5.94 GB	very large, extremely low quality loss
OpenHermes-2.5-Mistral-7B-Q8_0.gguf	Q8_0	8	7.7 GB	very large, extremely low quality loss - not recommended