Functionary Small V2.4 AWQ is an open-source language model by meetkai. Features: 7.2b LLM, VRAM: 4.2GB, Context: 32K, License: mit, Quantized, LLM Explorer Score: 0.13.
Model Card on HF 🤗: https://huggingface.co/meetkai/functionary-small-v2.4-AWQ
Functionary Small V2.4 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 V2.4 AWQ Parameters and Internals
| LLM Name | Functionary Small V2.4 AWQ |
| Repository 🤗 | https://huggingface.co/meetkai/functionary-small-v2.4-AWQ |
| Model Size | 7.2b |
| Required VRAM | 4.2 GB |
| Updated | 2026-04-11 |
| Maintainer | meetkai |
| Model Type | mistral |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | MistralForCausalLM |
| License | mit |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.39.3 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32004 |
| Torch Data Type | float16 |
Best Alternatives to Functionary Small V2.4 AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| MistralLite AWQ | 32K / 4.2 GB | 43 | 6 |
| LemonadeRP 4.5.3 AWQ | 32K / 4.2 GB | 6 | 0 |
| Hc Mistral Alpaca Merged AWQ | 32K / 4.2 GB | 9 | 0 |
| Garrulus AWQ | 32K / 4.2 GB | 6 | 2 |
| HamSter 0.1 AWQ | 32K / 4.2 GB | 4 | 2 |
| Phoenix AWQ | 32K / 4.2 GB | 6 | 1 |
| ...ph Openchat 3.5 1210 Slerp AWQ | 32K / 4.2 GB | 5 | 2 |
| Mistral Ft Optimized 1227 AWQ | 32K / 4.2 GB | 5 | 1 |
| Metis 0.5 AWQ | 32K / 4.2 GB | 4 | 1 |
| XDAN L1 Chat RL V1 AWQ | 32K / 4.2 GB | 3 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than meetkai/functionary-small-v2.4-AWQ .
Rank the Functionary Small V2.4 AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a