Llama-3_1-Nemotron-51B-Instruct-GGUF

Original Model

nvidia/Llama-3_1-Nemotron-51B-Instruct

Run with LlamaEdge

  • LlamaEdge version: coming soon
  • Prompt template

    • Prompt type: llama-3-chat

    • Prompt string

      <|begin_of_text|><|start_header_id|>system<|end_header_id|>
      
      {{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|>
      
      {{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
      
      {{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>
      
      {{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
      
  • Context size: 8192

  • Run as LlamaEdge service

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3_1-Nemotron-51B-Instruct-Q5_K_M.gguf \
      llama-api-server.wasm \
      --model-name Llama-3_1-Nemotron-51B-Instruct \
      --prompt-template llama-3-chat \
      --ctx-size 8192
    
  • Run as LlamaEdge command app

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3_1-Nemotron-51B-Instruct-Q5_K_M.gguf \
      llama-chat.wasm \
      --prompt-template llama-3-chat \
      --ctx-size 8192
    

Quantized GGUF Models

Name Quant method Bits Size Use case
Llama-3_1-Nemotron-51B-Instruct-Q2_K.gguf Q2_K 2 19.4 GB smallest, significant quality loss - not recommended for most purposes
Llama-3_1-Nemotron-51B-Instruct-Q3_K_L.gguf Q3_K_L 3 27.3 GB small, substantial quality loss
Llama-3_1-Nemotron-51B-Instruct-Q3_K_M.gguf Q3_K_M 3 25.2 GB very small, high quality loss
Llama-3_1-Nemotron-51B-Instruct-Q3_K_S.gguf Q3_K_S 3 22.7 GB very small, high quality loss
Llama-3_1-Nemotron-51B-Instruct-Q4_0.gguf Q4_0 4 29.3 GB legacy; small, very high quality loss - prefer using Q3_K_M
Llama-3_1-Nemotron-51B-Instruct-Q4_K_M.gguf Q4_K_M 4 31.0 GB medium, balanced quality - recommended
Llama-3_1-Nemotron-51B-Instruct-Q4_K_S.gguf Q4_K_S 4 29.5 GB small, greater quality loss
Llama-3_1-Nemotron-51B-Instruct-Q5_0.gguf Q5_0 5 35.6 GB legacy; medium, balanced quality - prefer using Q4_K_M
Llama-3_1-Nemotron-51B-Instruct-Q5_K_M.gguf Q5_K_M 5 36.5 GB large, very low quality loss - recommended
Llama-3_1-Nemotron-51B-Instruct-Q5_K_S.gguf Q5_K_S 5 35.6 GB large, low quality loss - recommended
Llama-3_1-Nemotron-51B-Instruct-Q6_K.gguf Q6_K 6 42.3 GB very large, extremely low quality loss
Llama-3_1-Nemotron-51B-Instruct-Q8_0-00001-of-00002.gguf Q8_0 8 29.8 GB very large, extremely low quality loss - not recommended
Llama-3_1-Nemotron-51B-Instruct-Q8_0-00002-of-00002.gguf Q8_0 8 24.9 GB very large, extremely low quality loss - not recommended
Llama-3_1-Nemotron-51B-Instruct-f16-00001-of-00004.gguf f16 16 29.8 GB
Llama-3_1-Nemotron-51B-Instruct-f16-00002-of-00004.gguf f16 16 29.6 GB
Llama-3_1-Nemotron-51B-Instruct-f16-00003-of-00004.gguf f16 16 29.6 GB
Llama-3_1-Nemotron-51B-Instruct-f16-00004-of-00004.gguf f16 16 14.1 GB

Quantized with llama.cpp b4381

Downloads last month
262
GGUF
Model size
51.5B params
Architecture
deci

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

16-bit

Inference Examples
Inference API (serverless) does not yet support model repos that contain custom code.

Model tree for second-state/Llama-3_1-Nemotron-51B-Instruct-GGUF

Quantized
(4)
this model