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Function Calling Llama3 8B Instruct by caldana

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  Autotrain compatible   Conversational Dataset:glaiveai/glaive-functi...   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/caldana/function_calling_llama3_8b_instruct 

Function Calling Llama3 8b Instruct Benchmarks

LLME Score: 0.17881
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Function Calling Llama3 8B Instruct (caldana/function_calling_llama3_8b_instruct)

Function Calling Llama3 8B Instruct Parameters and Internals

Model Type 
Causal Language Model
Additional Notes 
The model is equipped with interactive capabilities to manage reservations, using functions like cancelling and fetching reservation numbers.
LLM NameFunction Calling Llama3 8b Instruct
Repository 🤗https://huggingface.co/caldana/function_calling_llama3_8b_instruct 
Model Size8b
Required VRAM16.1 GB
Updated2025-06-01
Maintainercaldana
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than caldana/function_calling_llama3_8b_instruct.

Rank the Function Calling Llama3 8B Instruct Capabilities

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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
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