Llama 3 8B Instruct Function Calling by smangrul

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  4bit   Adapter Base model:adapter:unsloth/lla... Base model:unsloth/llama-3-8b-...   Conversational   Dataset:generator   Endpoints compatible   Finetuned   Generated from trainer   Gguf   Instruct   Lora   Peft   Q4   Quantized   Region:us   Safetensors   Sft   Tensorboard   Trl   Unsloth

Llama 3 8B Instruct Function Calling Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 8B Instruct Function Calling (smangrul/llama-3-8B-instruct-function-calling)

Llama 3 8B Instruct Function Calling Parameters and Internals

Model Type 
fine-tuned
Additional Notes 
Model description, intended uses, limitations, and training and evaluation data information were not provided.
Training Details 
Data Sources:
generator
LLM NameLlama 3 8B Instruct Function Calling
Repository ๐Ÿค—https://huggingface.co/smangrul/llama-3-8B-instruct-function-calling 
Base Model(s)  Llama 3 8B Instruct Bnb 4bit   unsloth/llama-3-8b-Instruct-bnb-4bit
Model Size8b
Required VRAM2.4 GB
Updated2025-02-22
Maintainersmangrul
Instruction-BasedYes
Model Files  2.4 GB   4.9 GB   0.0 GB
GGUF QuantizationYes
Quantization Typeq4|4bit|gguf|q4_k
Model ArchitectureAdapter
Licenseapache-2.0
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|o_proj|down_proj|up_proj|q_proj|v_proj|gate_proj
LoRA Alpha32
LoRA Dropout0
R Param32

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Note: green Score (e.g. "73.2") means that the model is better than smangrul/llama-3-8B-instruct-function-calling.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227