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Llama3 C1 Full by Fischerboot

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  4-bit   Adapter Base model:adapter:essacheez/l... Base model:essacheez/llama3-8b...   Bitsandbytes   Finetuned   Generated from trainer   Llama   Lora   Peft   Region:us
Model Card on HF 🤗: https://huggingface.co/Fischerboot/llama3-c1-full 

Llama3 C1 Full Benchmarks

LLME Score: 0.22377
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 C1 Full (Fischerboot/llama3-c1-full)

Llama3 C1 Full Parameters and Internals

Model Type 
AutoModelForCausalLM
Training Details 
Data Sources:
Fischerboot/some-german-alpaca-dataset, Fischerboot/another-german-alpaca-dataset
Context Length:
2048
LLM NameLlama3 C1 Full
Repository 🤗https://huggingface.co/Fischerboot/llama3-c1-full 
Base Model(s)  LLAMA3 8B LIMA Alpaca Style   Essacheez/LLAMA3-8b-LIMA-Alpaca-style
Model Size8b
Required VRAM0.2 GB
Updated2024-09-29
MaintainerFischerboot
Model Files  0.2 GB
Model ArchitectureAdapter
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|o_proj|q_proj|gate_proj|up_proj|v_proj|down_proj
LoRA Alpha16
LoRA Dropout0.05
R Param32

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Note: green Score (e.g. "73.2") means that the model is better than Fischerboot/llama3-c1-full.

Rank the Llama3 C1 Full Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Release v20241217
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