4-bit Autotrain compatible Awq Conversational Custom code Endpoints compatible Llama Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/meetkai/functionary-small-v2.5-AWQ
Functionary Small V2.5 AWQ Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Functionary Small V2.5 AWQ Parameters and Internals
| LLM Name | Functionary Small V2.5 AWQ |
| Repository 🤗 | https://huggingface.co/meetkai/functionary-small-v2.5-AWQ |
| Model Size | 2b |
| Required VRAM | 5.8 GB |
| Updated | 2025-09-24 |
| Maintainer | meetkai |
| Model Type | llama |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | LlamaForCausalLM|FunctionaryForCausalLM |
| License | mit |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|end_of_text|> |
| Vocabulary Size | 128256 |
| Torch Data Type | float16 |
Rank the Functionary Small V2.5 AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124