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LLama 3 8B Instruction Tr by umarigan

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LLama 3 8B Instruction Tr is an open-source language model by umarigan. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.16.

  4bit   Autotrain compatible Base model:finetune:unsloth/ll... Base model:unsloth/llama-3-8b-... Dataset:umarigan/gpteacher-gen...   En   Endpoints compatible   Instruct   Llama   Pytorch   Quantized   Region:us   Sft   Sharded   Tr   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/umarigan/LLama-3-8B-Instruction-tr 

LLama 3 8B Instruction Tr Benchmarks

LLME Score: 0.16255
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 Instruction Tr (umarigan/LLama-3-8B-Instruction-tr)
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LLama 3 8B Instruction Tr Parameters and Internals

Model Type 
text generation, transformers
Additional Notes 
This model was trained 2x faster using Unsloth and Huggingface's TRL library.
Supported Languages 
en (proficient), tr (proficient)
Training Details 
Data Sources:
umarigan/GPTeacher-General-Instruct-tr
Methodology:
fine-tuning with TRL library
Input Output 
Input Format:
String format with placeholders for prompts
Accepted Modalities:
text
Output Format:
String format text generation
LLM NameLLama 3 8B Instruction Tr
Repository 🤗https://huggingface.co/umarigan/LLama-3-8B-Instruction-tr 
Base Model(s)  Llama 3 8B Bnb 4bit   unsloth/llama-3-8b-bnb-4bit
Model Size8b
Required VRAM16.1 GB
Updated2025-09-23
Maintainerumarigan
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen tr
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16

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Rank the LLama 3 8B Instruction Tr 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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