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Llama 3 8B Claudstruct V1 by jrahn

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  4-bit   Adapter Base model:adapter:meta-llama/... Base model:meta-llama/meta-lla...   Bitsandbytes Dataset:norquinal/claude multi...   En   Finetuned   Generated from trainer   Instruct   Llama   Lora   Peft   Region:us   Safetensors

Llama 3 8B Claudstruct V1 Benchmarks

ARC: 59.73 vs 96.7 (so35)-38.2%
HellaSwag: 79.94 vs 95.3 (gpt4)-16.1%
MMLU: 64.98 vs 88.3 (so35)-26.4%
TruthfulQA: 51.82 vs 59 (gpt4)-12.2%
WinoGrande: 74.43 vs 87.5 (gpt4)-14.9%
GSM8K: 64.52 vs 96.4 (so35)-33.1%
LLME Score: 0.22094
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 Claudstruct V1 Parameters and Internals

Model Type 
LlamaForCausalLM
Supported Languages 
en (high)
Training Details 
Data Sources:
Norquinal/claude_multi_instruct_30k
Context Length:
512
Hardware Used:
multi-GPU: 2 devices
LLM NameLlama 3 8B Claudstruct V1
Repository 🤗https://huggingface.co/jrahn/llama-3-8b-claudstruct-v1 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM0.1 GB
Updated2024-11-21
Maintainerjrahn
Instruction-BasedYes
Model Files  0.1 GB   0.0 GB
Supported Languagesen
Model ArchitectureAdapter
Licensellama3
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleso_proj|q_proj|k_proj|gate_proj|v_proj|up_proj|down_proj
LoRA Alpha16
LoRA Dropout0.05
R Param8
Llama 3 8B Claudstruct V1 (jrahn/llama-3-8b-claudstruct-v1)

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Note: green Score (e.g. "73.2") means that the model is better than jrahn/llama-3-8b-claudstruct-v1.

Rank the Llama 3 8B Claudstruct V1 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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Release v20241110
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