Llama 3 Refueled AWQ by solidrust

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Llama 3 Refueled AWQ is an open-source language model by solidrust. Features: 8b LLM, VRAM: 5.8GB, Context: 8K, Quantized, LLM Explorer Score: 0.13.

  4-bit   Autotrain compatible   Awq Base model:quantized:refuelai/... Base model:refuelai/llama-3-re...   Conversational   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Llama 3 Refueled 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 Refueled AWQ Parameters and Internals

Model Type 
text-generation
Additional Notes 
AWQ models are optimized with 4-bit weight quantization method, providing efficient and fast inference mainly on NVidia GPUs.
Input Output 
Input Format:
tokens
Accepted Modalities:
text
Output Format:
generated text
LLM NameLlama 3 Refueled AWQ
Repository 🤗https://huggingface.co/solidrust/Llama-3-Refueled-AWQ 
Base Model(s)  Llama 3 Refueled   refuelai/Llama-3-Refueled
Model Size8b
Required VRAM5.8 GB
Updated2026-04-21
Maintainersolidrust
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

Best Alternatives to Llama 3 Refueled AWQ

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Context / RAM
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...8B Instruct Gradient 1048K AWQ1024K / 5.8 GB80
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...ta Llama 3 8B Instruct 64K AWQ64K / 5.8 GB60
... Instruct 8B 32K V0.1 4bit AWQ64K / 5.8 GB80
Llama 3 8B Instruct AWQ8K / 5.8 GB8810529
...eta Llama 3 8B Instruct Hf AWQ8K / 5.8 GB15209
Meta Llama 3 8B Instruct AWQ8K / 5.8 GB8580
Meta Llama 3 8B Instruct AWQ8K / 5.8 GB9685
Meta Llama 3 8B Instruct AWQ8K / 5.8 GB8360
Note: green Score (e.g. "73.2") means that the model is better than solidrust/Llama-3-Refueled-AWQ.

Rank the Llama 3 Refueled AWQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a