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Llama3 8B Flanv2 Cot by ayushrupapara

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  4bit Base model:quantized:unsloth/l... Base model:unsloth/llama-3-8b-... Dataset:ayushrupapara/flanv2 c...   En   Endpoints compatible   Gguf   Instruct   Llama   Lora   Quantized   Region:us   Safetensors   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/ayushrupapara/llama3_8b_flanv2_cot 

Llama3 8b Flanv2 Cot Benchmarks

LLME Score: 0.19733
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 8B Flanv2 Cot (ayushrupapara/llama3_8b_flanv2_cot)

Llama3 8B Flanv2 Cot Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en (fluent)
LLM NameLlama3 8b Flanv2 Cot
Repository 🤗https://huggingface.co/ayushrupapara/llama3_8b_flanv2_cot 
Base Model(s)  Llama 3 8B Bnb 4bit   unsloth/llama-3-8b-bnb-4bit
Model Size8b
Required VRAM0.2 GB
Updated2025-02-05
Maintainerayushrupapara
Model Files  0.2 GB   4.9 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureAutoModel
Licenseapache-2.0
Model Max Length8192
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|q_proj|o_proj|up_proj|down_proj|gate_proj|k_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 ayushrupapara/llama3_8b_flanv2_cot.

Rank the Llama3 8B Flanv2 Cot 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 v20241227
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