Llama 3 8B Instruct Function Calling V0.2 by mzbac

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  Autotrain compatible   Conversational Dataset:mzbac/function-calling...   En   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow

Llama 3 8B Instruct Function Calling V0.2 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 V0.2 (mzbac/llama-3-8B-Instruct-function-calling-v0.2)
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Llama 3 8B Instruct Function Calling V0.2 Parameters and Internals

Model Type 
text generation, causal language modeling
Additional Notes 
This model performs function calling with cleaned JSON data for improved accuracy.
Supported Languages 
English (high)
Training Details 
Data Sources:
mzbac/function-calling-llama-3-format-v1.1
Methodology:
Fine-tuning on function calling dataset with cleaned-up JSON data.
Model Architecture:
Based on Meta-Llama architecture.
Input Output 
Input Format:
JSON-formatted prompts for function calling
Accepted Modalities:
text
Output Format:
Generated text with possible function call outputs.
LLM NameLlama 3 8B Instruct Function Calling V0.2
Repository ๐Ÿค—https://huggingface.co/mzbac/llama-3-8B-Instruct-function-calling-v0.2 
Model Size8b
Required VRAM16.1 GB
Updated2025-09-21
Maintainermzbac
Model Typellama
Instruction-BasedYes
Model Files  5.3 GB: 1-of-4   5.3 GB: 2-of-4   4.4 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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