Functionary Small V2.5 is an open-source language model by meetkai. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: mit, Instruction-Based, LLM Explorer Score: 0.14.
Conversational Custom code Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorboard Tensorflow
Model Card on HF 🤗: https://huggingface.co/meetkai/functionary-small-v2.5
Functionary Small V2.5 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 Parameters and Internals
| Model Type |
| |||
| Use Cases |
| |||
| Additional Notes |
|
| LLM Name | Functionary Small V2.5 |
| Repository 🤗 | https://huggingface.co/meetkai/functionary-small-v2.5 |
| Model Size | 8b |
| Required VRAM | 16.1 GB |
| Updated | 2026-04-08 |
| Maintainer | meetkai |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | LlamaForCausalLM|FunctionaryForCausalLM |
| License | mit |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.41.0.dev0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|end_of_text|> |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Rank the Functionary Small V2.5 Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 52721 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a