Qwen2 0.5B Fncl by haripritam

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  Autotrain compatible   Conversational Dataset:glaiveai/glaive-functi...   En   Endpoints compatible   Qwen2   Region:us   Safetensors

Qwen2 0.5B Fncl Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Qwen2 0.5B Fncl Parameters and Internals

Model Type 
function calling
Additional Notes 
The model is specifically tailored to perform function calling, with an example provided in a shared Colab link.
Supported Languages 
en (English)
Training Details 
Data Sources:
glaiveai/glaive-function-calling-v2
Input Output 
Input Format:
Prompt format includes function call with JSON arguments within XML tags.
Accepted Modalities:
text
Output Format:
JSON object response for function calls.
LLM NameQwen2 0.5B Fncl
Repository ๐Ÿค—https://huggingface.co/haripritam/Qwen2-0.5B-fncl 
Model Size0.5b
Required VRAM1 GB
Updated2024-12-04
Maintainerharipritam
Model Typeqwen2
Model Files  1.0 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace
Qwen2 0.5B Fncl (haripritam/Qwen2-0.5B-fncl)

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Note: green Score (e.g. "73.2") means that the model is better than haripritam/Qwen2-0.5B-fncl.

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