Llama 3 8B ChatQA AWQ by Sreenington

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  Arxiv:2401.10225   4-bit   Autotrain compatible   Awq   Chatqa   Chatqa-1.5   Conversational Dataset:nvidia/chatqa-training...   En   Endpoints compatible   Llama   Llama-3   Nvidia   Pytorch   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Llama 3 8B ChatQA AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 8B ChatQA AWQ (Sreenington/Llama-3-8B-ChatQA-AWQ)

Llama 3 8B ChatQA AWQ Parameters and Internals

Model Type 
text-generation, conversational
Use Cases 
Areas:
research, commercial applications
Applications:
conversational question answering (QA), retrieval-augmented generation (RAG)
Primary Use Cases:
conversational AI, document processing
Limitations:
throughput lower than unquantised models
Additional Notes 
AWQ method allows faster transformer-based inference with smaller GPUs, suitable for high-throughput applications.
Supported Languages 
en (fluent)
Training Details 
Data Sources:
nvidia/ChatQA-Training-Data
Methodology:
Incorporated more conversational QA data for enhanced capabilities in tabular and arithmetic calculations.
Hardware Used:
Megatron-LM
Input Output 
Input Format:
Structured prompts following the conversation protocol provided.
Accepted Modalities:
text
Output Format:
Text responses providing detailed answers to user queries.
Performance Tips:
Use AWQ quantization for smaller GPU footprint and cost savings.
LLM NameLlama 3 8B ChatQA AWQ
Repository ๐Ÿค—https://huggingface.co/Sreenington/Llama-3-8B-ChatQA-AWQ 
Model Size8b
Required VRAM5.8 GB
Updated2025-02-22
MaintainerSreenington
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Sreenington/Llama-3-8B-ChatQA-AWQ.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227