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Llama3 ChatQA (8B)

NVIDIA RAG-optimized Llama 3. Excellent for question answering. 128K downloads.

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Parameters
8B
Minimum RAM
8 GB
Model size
4.7 GB
Quantization
Q4_K_M

Can Llama3 ChatQA (8B) run locally?

Llama3 ChatQA (8B) is best suited for entry-level laptops and desktops. LocalClaw recommends Q4_K_M as the default quantization, with at least 8 GB RAM.

Search term for LM Studio or compatible runtimes: llama-3-chatqa-1.5-8b

Hugging Face repository: nvidia/Llama3-ChatQA-1.5-8B-GGUF

chatstandard

Strengths

  • NVIDIA RAG-optimized Llama 3. Excellent for question answering. 128K downloads.

Limitations

  • Performance depends heavily on quantization, RAM bandwidth and runtime support.

Best use cases

  • chat
  • standard

Benchmarks

Speed: 8/10

Quality: 7/10

Coding: 5/10

Reasoning: 7/10

Technical details

Developer: llama

License: See model repository

Context window: Unknown tokens

Architecture: See model card

Released: 2024-05