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Llama 3 8B Instruct Coder AWQ by solidrust

 »  All LLMs  »  solidrust  »  Llama 3 8B Instruct Coder AWQ   URL Share it on

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  4-bit   Autotrain compatible   Awq Base model:quantized:rombodawg... Base model:rombodawg/llama-3-8...   Codegen   Conversational   En   Endpoints compatible   Instruct   Llama   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/solidrust/Llama-3-8B-Instruct-Coder-AWQ 

Llama 3 8B Instruct Coder AWQ Benchmarks

LLME Score: 0.1948
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 Instruct Coder AWQ (solidrust/Llama-3-8B-Instruct-Coder-AWQ)

Llama 3 8B Instruct Coder AWQ Parameters and Internals

Model Type 
4-bit, AWQ, text-generation, autotrain_compatible, endpoints_compatible, text-generation-inference, transformers, unsloth, llama, trl, sft
Additional Notes 
Model supports AWQ, which is a 4-bit quantization method enhancing performance compared to previous quantization techniques.
Training Details 
Data Volume:
65k Codefeedback dataset + 150k Code Feedback Filtered Instruction dataset
Methodology:
Uses 'Qalore' method with Qlora and Galore techniques
Training Time:
130 hours
Hardware Used:
RTX A4000 16GB
LLM NameLlama 3 8B Instruct Coder AWQ
Repository 🤗https://huggingface.co/solidrust/Llama-3-8B-Instruct-Coder-AWQ 
Base Model(s)  Llama 3 8B Instruct Coder   rombodawg/Llama-3-8B-Instruct-Coder
Model Size8b
Required VRAM5.8 GB
Updated2024-12-22
Maintainersolidrust
Model Typellama
Instruction-BasedYes
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16

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

Rank the Llama 3 8B Instruct Coder AWQ Capabilities

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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