Nemo Kimi Lora by ToastyPigeon

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  4-bit   Adapter   Axolotl Base model:adapter:mistralai/m... Base model:mistralai/mistral-n...   Bitsandbytes Dataset:alfitaria/bodinforg-co... Dataset:alfitaria/synthkink-co...   Finetuned   Generated from trainer   Lora   Mistral   Peft   Region:us   Safetensors

Nemo Kimi Lora Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nemo Kimi Lora (ToastyPigeon/nemo-kimi-lora)
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Nemo Kimi Lora Parameters and Internals

LLM NameNemo Kimi Lora
Repository ๐Ÿค—https://huggingface.co/ToastyPigeon/nemo-kimi-lora 
Base Model(s)  Mistral Nemo Base 2407   mistralai/Mistral-Nemo-Base-2407
Required VRAM1.8 GB
Updated2025-07-29
MaintainerToastyPigeon
Model Files  1.8 GB   0.0 GB
Model ArchitectureAdapter
Licenseapache-2.0
Is Biasednone
Tokenizer ClassPreTrainedTokenizer
Padding Token<pad>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|up_proj|k_proj|v_proj|gate_proj|down_proj|o_proj
LoRA Alpha16
LoRA Dropout0.1
R Param128

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Rank the Nemo Kimi Lora Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
Text Generation  
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Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124