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Chemeng Llama 3 8B Instruct Bnb 4bit 24 1 100 1 by kms7530

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  4bit Base model:quantized:unsloth/l... Base model:unsloth/llama-3-8b-...   Conversational   Dataset:kms7530/chemeng   En   Endpoints compatible   Gguf   Instruct   Llama   Lora   Pytorch   Quantized   Region:us   Safetensors   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/kms7530/chemeng_llama-3-8b-Instruct-bnb-4bit_24_1_100_1 

Chemeng Llama 3 8B Instruct Bnb 4bit 24 1 100 1 Benchmarks

MMLU Pro: 19.98
GPQA: 2.68
MUSR: 5.49
BBH: 19.08
IFEval: 54.55 vs 88 (so35)-38%
MATH Lvl 5: 6.19
LLME Score: 0.27182
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Chemeng Llama 3 8B Instruct Bnb 4bit 24 1 100 1 (kms7530/chemeng_llama-3-8b-Instruct-bnb-4bit_24_1_100_1)

Chemeng Llama 3 8B Instruct Bnb 4bit 24 1 100 1 Parameters and Internals

LLM NameChemeng Llama 3 8B Instruct Bnb 4bit 24 1 100 1
Repository 🤗https://huggingface.co/kms7530/chemeng_llama-3-8b-Instruct-bnb-4bit_24_1_100_1 
Base Model(s)  Llama 3 8B Instruct Bnb 4bit   unsloth/llama-3-8b-Instruct-bnb-4bit
Model Size8b
Required VRAM16.1 GB
Updated2025-03-12
Maintainerkms7530
Instruction-BasedYes
Model Files  0.2 GB   5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4   16.1 GB   16.1 GB   4.9 GB   5.7 GB   8.5 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureAutoModel
Licenseapache-2.0
Model Max Length8192
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|o_proj|up_proj|q_proj|gate_proj|k_proj|down_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 kms7530/chemeng_llama-3-8b-Instruct-bnb-4bit_24_1_100_1.

Rank the Chemeng Llama 3 8B Instruct Bnb 4bit 24 1 100 1 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Release v20241227
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