Llama 3 8B Samantha by ruslandev

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  4bit   Autotrain compatible Base model:finetune:unsloth/ll... Base model:unsloth/llama-3-8b-... Dataset:cognitivecomputations/...   En   Endpoints compatible   Llama   Lora   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth

Llama 3 8B Samantha Benchmarks

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 Samantha (ruslandev/llama-3-8b-samantha)
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Llama 3 8B Samantha Parameters and Internals

Model Type 
text generation
Training Details 
Data Sources:
cognitivecomputations/samantha-data
Methodology:
Finetuned using gptchain framework
Training Time:
1 hour on a single A100
Hardware Used:
A100 GPU
Input Output 
Input Format:
Alpaca format with a specific system prompt
LLM NameLlama 3 8B Samantha
Repository ๐Ÿค—https://huggingface.co/ruslandev/llama-3-8b-samantha 
Base Model(s)  Llama 3 8B Bnb 4bit   unsloth/llama-3-8b-bnb-4bit
Model Size8b
Required VRAM16.1 GB
Updated2025-08-26
Maintainerruslandev
Model Files  0.2 GB   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
Quantization Type4bit
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length8192
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|q_proj|down_proj|k_proj|gate_proj|o_proj|up_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 ruslandev/llama-3-8b-samantha.

Rank the Llama 3 8B Samantha 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 v20241124