Autotrain compatible Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow
Functionary Small V2.2 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 V2.2 Parameters and Internals
| LLM Name | Functionary Small V2.2 |
| Repository 🤗 | https://huggingface.co/meetkai/functionary-small-v2.2 |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2024-10-08 |
| Maintainer | meetkai |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32004 |
| Torch Data Type | bfloat16 |
Best Alternatives to Functionary Small V2.2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...Nemo Instruct 2407 Abliterated | 1000K / 24.5 GB | 1227 | 6 |
| MegaBeam Mistral 7B 512K | 512K / 14.4 GB | 377 | 41 |
| ...daz Web AI ChatML 512K Project | 512K / 14.5 GB | 12 | 0 |
| MegaBeam Mistral 7B 300K | 282K / 14.4 GB | 31 | 15 |
| Hebrew Mistral 7B 200K | 256K / 30 GB | 2536 | 15 |
| Astral 256K 7B V2 | 250K / 14.4 GB | 10 | 0 |
| Astral 256K 7B | 250K / 14.4 GB | 9 | 0 |
| Boptruth Agatha 7B | 128K / 14.4 GB | 43 | 0 |
| Buddhi 128K Chat 7B | 128K / 14.4 GB | 550 | 15 |
| Test001 | 128K / 14.5 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than meetkai/functionary-small-v2.2 .
Rank the Functionary Small V2.2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803