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Llama 7 Int4 SFT by J-coder118

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Llama 7 Int4 SFT is an open-source language model by J-coder118. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, LLM Explorer Score: 0.14.

  Arxiv:1910.09700   Autotrain compatible   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/J-coder118/llama-7-int4-SFT 

Llama 7 Int4 SFT Benchmarks

LLME Score: 0.14121
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 7 Int4 SFT (J-coder118/llama-7-int4-SFT)
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Llama 7 Int4 SFT Parameters and Internals

LLM NameLlama 7 Int4 SFT
Repository 🤗https://huggingface.co/J-coder118/llama-7-int4-SFT 
Model Size7b
Required VRAM13.5 GB
Updated2025-09-23
MaintainerJ-coder118
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than J-coder118/llama-7-int4-SFT.

Rank the Llama 7 Int4 SFT 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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