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Gorilla Openfunctions V1 AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:gorilla-llm/gorilla... Base model:quantized:gorilla-l...   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/gorilla-openfunctions-v1-AWQ 

Gorilla Openfunctions V1 AWQ Benchmarks

LLME Score: 0.12175
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gorilla Openfunctions V1 AWQ (TheBloke/gorilla-openfunctions-v1-AWQ)
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Gorilla Openfunctions V1 AWQ Parameters and Internals

Model Type 
llama
Additional Notes 
Gorilla OpenFunctions extends Large Language Models (LLM) to formulate executable API calls given natural language instructions and API context.
Input Output 
Input Format:
USER: <> {prompt} <> {{function_string}} ASSISTANT:
LLM NameGorilla Openfunctions V1 AWQ
Repository 🤗https://huggingface.co/TheBloke/gorilla-openfunctions-v1-AWQ 
Model NameGorilla OpenFunctions V1
Model CreatorGorilla LLM (UC Berkeley
Base Model(s)  Gorilla Openfunctions V1   gorilla-llm/gorilla-openfunctions-v1
Model Size1.1b
Required VRAM3.9 GB
Updated2025-09-12
MaintainerTheBloke
Model Typellama
Model Files  3.9 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/gorilla-openfunctions-v1-AWQ.

Rank the Gorilla Openfunctions V1 AWQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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