Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Mistral Region:us Safetensors Sft Trl
Mistral Bengali 10K 5000K 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)
Mistral Bengali 10K 5000K Parameters and Internals
| LLM Name | Mistral Bengali 10K 5000K |
| Repository 🤗 | https://huggingface.co/ar08/Mistral-bengali-10K-5000k |
| Model Size | 248m |
| Required VRAM | 1 GB |
| Updated | 2024-09-06 |
| Maintainer | ar08 |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Best Alternatives to Mistral Bengali 10K 5000K
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 ar08/Mistral-bengali-10K-5000k .
Rank the Mistral Bengali 10K 5000K Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803