Internlm2 Limarp Lora by intervitens

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  8-bit   Adapter Base model:adapter:intervitens... Base model:intervitens/internl...   Bitsandbytes   Finetuned   Generated from trainer   Llama   Lora   Peft   Region:us

Internlm2 Limarp Lora Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Internlm2 Limarp Lora (intervitens/internlm2-limarp-lora)

Internlm2 Limarp Lora Parameters and Internals

Model Type 
LlamaForCausalLM
Additional Notes 
It appears that there's a problem with the llamafied internlm2 tokenizer.
Training Details 
Data Sources:
/data/train-all-8k.jsonl
Context Length:
8192
LLM NameInternlm2 Limarp Lora
Repository ๐Ÿค—https://huggingface.co/intervitens/internlm2-limarp-lora 
Base Model(s)  Internlm2 Base 20B Llama   intervitens/internlm2-base-20b-llama
Model Size20b
Required VRAM2.6 GB
Updated2025-02-22
Maintainerintervitens
Model Files  2.6 GB
Model ArchitectureAdapter
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleso_proj|down_proj|gate_proj|q_proj|up_proj|v_proj|k_proj
LoRA Alpha64
LoRA Dropout0.05
R Param128

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Note: green Score (e.g. "73.2") means that the model is better than intervitens/internlm2-limarp-lora.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227