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Trillama 8B AWQ by solidrust

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Model Card on HF 🤗: https://huggingface.co/solidrust/Trillama-8B-AWQ 

Trillama 8B AWQ Benchmarks

LLME Score: 0.18541
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Trillama 8B AWQ (solidrust/Trillama-8B-AWQ)

Trillama 8B AWQ Parameters and Internals

Model Type 
text-generation
Additional Notes 
Trillama-8B is a fine-tuned model building on Llama-3-8B from Meta, aiming to enhance logic and reasoning capabilities. It is compatible with transformers and supports 4-bit precision.
LLM NameTrillama 8B AWQ
Repository 🤗https://huggingface.co/solidrust/Trillama-8B-AWQ 
Base Model(s)  Trillama 8B   senseable/Trillama-8B
Model Size8b
Required VRAM5.8 GB
Updated2025-02-05
Maintainersolidrust
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length8192
Model Max Length8192
Transformers Version4.38.2
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 solidrust/Trillama-8B-AWQ.

Rank the Trillama 8B 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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Release v20241227
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