metadata
model_name: Hermes-2-Pro-Llama-3-8B
base_model: NousResearch/Hermes-2-Pro-Llama-3-8B
inference: false
model_creator: NousResearch
model_type: llama
pipeline_tag: text-generation
quantized_by: Second State Inc.
language:
- en
Hermes-2-Pro-Llama-3-8B-GGUF
Original Model
NousResearch/Hermes-2-Pro-Llama-3-8B
Run with LlamaEdge
LlamaEdge version: v0.11.3 and above
Prompt template
Prompt type:
chatml
Prompt string
<|im_start|>system {system_message}<|im_end|> <|im_start|>user {user_message}<|im_end|> <|im_start|>assistant
Context size:
4096
Run as LlamaEdge service
Chat
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Hermes-2-Pro-Llama-3-8B-Q5_K_M.gguf \ llama-api-server.wasm \ --prompt-template chatml \ --ctx-size 4096 \ --model-name hermes-2-pro-llama-3-8b
Tool use
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Hermes-2-Pro-Llama-3-8B-Q5_K_M.gguf \ llama-api-server.wasm \ --prompt-template chatml-tool \ --ctx-size 4096 \ --model-name hermes-2-pro-llama-3-8b
Run as LlamaEdge command app
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Hermes-2-Pro-Llama-3-8B-Q5_K_M.gguf \ llama-chat.wasm \ --prompt-template chatml \ --ctx-size 4096
Quantized GGUF Models
Name | Quant method | Bits | Size | Use case |
---|---|---|---|---|
Hermes-2-Pro-Llama-3-8B-Q2_K.gguf | Q2_K | 2 | 3.18 GB | smallest, significant quality loss - not recommended for most purposes |
Hermes-2-Pro-Llama-3-8B-Q3_K_L.gguf | Q3_K_L | 3 | 4.32 GB | small, substantial quality loss |
Hermes-2-Pro-Llama-3-8B-Q3_K_M.gguf | Q3_K_M | 3 | 4.02 GB | very small, high quality loss |
Hermes-2-Pro-Llama-3-8B-Q3_K_S.gguf | Q3_K_S | 3 | 3.66 GB | very small, high quality loss |
Hermes-2-Pro-Llama-3-8B-Q4_0.gguf | Q4_0 | 4 | 4.66 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
Hermes-2-Pro-Llama-3-8B-Q4_K_M.gguf | Q4_K_M | 4 | 4.92 GB | medium, balanced quality - recommended |
Hermes-2-Pro-Llama-3-8B-Q4_K_S.gguf | Q4_K_S | 4 | 4.69 GB | small, greater quality loss |
Hermes-2-Pro-Llama-3-8B-Q5_0.gguf | Q5_0 | 5 | 5.6 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
Hermes-2-Pro-Llama-3-8B-Q5_K_M.gguf | Q5_K_M | 5 | 5.73 GB | large, very low quality loss - recommended |
Hermes-2-Pro-Llama-3-8B-Q5_K_S.gguf | Q5_K_S | 5 | 5.6 GB | large, low quality loss - recommended |
Hermes-2-Pro-Llama-3-8B-Q6_K.gguf | Q6_K | 6 | 6.6 GB | very large, extremely low quality loss |
Hermes-2-Pro-Llama-3-8B-Q8_0.gguf | Q8_0 | 8 | 8.54 GB | very large, extremely low quality loss - not recommended |
Hermes-2-Pro-Llama-3-8B-f16.gguf | f16 | 16 | 16.1 GB |
Quantized with llama.cpp b3135.