Model Card on HF 🤗: https://huggingface.co/meetkai/functionary-small-v3.2
Functionary Small V3.2 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 V3.2 Parameters and Internals
| LLM Name | Functionary Small V3.2 |
| Repository 🤗 | https://huggingface.co/meetkai/functionary-small-v3.2 |
| Model Size | 8b |
| Required VRAM | 16.1 GB |
| Updated | 2025-03-11 |
| Maintainer | meetkai |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | mit |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.44.0.dev0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|eot_id|> |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives to Functionary Small V3.2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...a 3 8B Instruct Gradient 1048K | 1024K / 16.1 GB | 5148 | 681 |
| P | 1024K / 16.1 GB | 119 | 0 |
| 93 | 1024K / 16.1 GB | 84 | 0 |
| 117 | 1024K / 16.1 GB | 33 | 0 |
| Mpasila Viking 8B | 1024K / 16.1 GB | 84 | 0 |
| 93a | 1024K / 16.1 GB | 20 | 0 |
| 126 | 1024K / 16.1 GB | 13 | 0 |
| 136 | 1024K / 16.1 GB | 13 | 0 |
| 133 | 1024K / 16.1 GB | 12 | 0 |
| 16 | 1024K / 16.1 GB | 169 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than meetkai/functionary-small-v3.2 .
Rank the Functionary Small V3.2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227