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Llama 3 8B Instruct Bnb Telcom 3 by youssef227

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Llama 3 8B Instruct Bnb Telcom 3 is an open-source language model by youssef227. Features: 8b LLM, VRAM: 0.2GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.15.

  4-bit   4bit   Autotrain compatible Base model:quantized:unsloth/l... Base model:unsloth/llama-3-8b-...   Bitsandbytes   Conversational   En   Endpoints compatible   Instruct   Llama   Lora   Quantized   Region:us   Safetensors   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/youssef227/llama-3-8b-Instruct-bnb-telcom-3 

Llama 3 8B Instruct Bnb Telcom 3 Benchmarks

LLME Score: 0.14997
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 Bnb Telcom 3 (youssef227/llama-3-8b-Instruct-bnb-telcom-3)
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Llama 3 8B Instruct Bnb Telcom 3 Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en (proficient)
Training Details 
Methodology:
Trained 2x faster with Unsloth and Huggingface's TRL library
LLM NameLlama 3 8B Instruct Bnb Telcom 3
Repository 🤗https://huggingface.co/youssef227/llama-3-8b-Instruct-bnb-telcom-3 
Base Model(s)  Llama 3 8B Instruct Bnb 4bit   unsloth/llama-3-8b-Instruct-bnb-4bit
Model Size8b
Required VRAM0.2 GB
Updated2025-09-23
Maintaineryoussef227
Instruction-BasedYes
Model Files  0.2 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length8192
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|q_proj|up_proj|gate_proj|o_proj|v_proj|down_proj
LoRA Alpha16
LoRA Dropout0
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than youssef227/llama-3-8b-Instruct-bnb-telcom-3.

Rank the Llama 3 8B Instruct Bnb Telcom 3 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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