Merged Model Arxiv:2306.01708 Autotrain compatible Base model:felladrin/tinymistr... Base model:locutusque/tinymist... Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow
SpydazWebAI MiniAI 248m 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)
SpydazWebAI MiniAI 248M Parameters and Internals
| LLM Name | SpydazWebAI MiniAI 248m |
| Repository 🤗 | https://huggingface.co/LeroyDyer/SpydazWebAI_MiniAI_248m |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 248m |
| Required VRAM | 0.5 GB |
| Updated | 2024-09-07 |
| Maintainer | LeroyDyer |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 32005 |
| Torch Data Type | float16 |
Best Alternatives to SpydazWebAI MiniAI 248M
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| TinyMistral 248M V2 | 32K / 1 GB | 1343 | 15 |
| TinyMistral 248M V2.5 | 32K / 1 GB | 166 | 25 |
| TinyMistral 248M V2.5 Instruct | 32K / 1 GB | 12 | 10 |
| ...al V2.5 MiniPile Guidelines E1 | 32K / 0.6 GB | 5 | 2 |
| TinyMistral V2 Test1 | 32K / 1 GB | 4 | 1 |
| TinyMistral 248M 8bits | 32K / 0.3 GB | 21 | 1 |
| Tinymistv1 | 32K / 0.5 GB | 17 | 0 |
| TinyMistral 248M Instruct | 32K / 1 GB | 59 | 11 |
| TinyMistral Haiku | 32K / 1 GB | 6 | 0 |
| TinyMistral 248M | 32K / 1 GB | 6475 | 39 |
Note: green Score (e.g. "73.2") means that the model is better than LeroyDyer/SpydazWebAI_MiniAI_248m .
Rank the SpydazWebAI MiniAI 248M Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803