Go Bruins V3 Lora by Azazelle

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  Adapter Base model:adapter:nousresearc... Base model:nousresearch/meta-l...   Finetuned   Lora   Peft   Region:us   Safetensors

Go Bruins V3 Lora Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Go Bruins V3 Lora (Azazelle/go-bruins-v3-lora)

Go Bruins V3 Lora Parameters and Internals

LLM NameGo Bruins V3 Lora
Repository ๐Ÿค—https://huggingface.co/Azazelle/go-bruins-v3-lora 
Base Model(s)  Meta Llama 3 8B   NousResearch/Meta-Llama-3-8B
Model Size8b
Required VRAM0 GB
Updated2024-12-21
MaintainerAzazelle
Model Files  0.0 GB
Model ArchitectureAdapter
Model Max Length8192
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_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 Azazelle/go-bruins-v3-lora.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217