4bit Autotrain compatible Conversational En Endpoints compatible Instruct Mistral Pytorch Quantized Region:us Sharded Trl Unsloth
Model 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)
Model Parameters and Internals
| LLM Name | Model |
| Repository 🤗 | https://huggingface.co/saichand845/model |
| Base Model(s) | |
| Required VRAM | 7.6 GB |
| Updated | 2024-09-01 |
| Maintainer | saichand845 |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|placeholder6|> |
| Vocabulary Size | 32064 |
| Torch Data Type | float16 |
Best Alternatives to Model
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ... Mini 4K Instruct Bnb 4bit Ita | 4K / 7.6 GB | 2585 | 0 |
| ...ini New Model With Lora Merged | 4K / 7.6 GB | 5 | 0 |
| Phired | 4K / 7.6 GB | 5 | 0 |
| Phi3 History V2 | 4K / 7.6 GB | 5 | 0 |
| Phi 3 Mini Hospital Topic 50 | 4K / 7.6 GB | 5 | 0 |
| Model | 4K / 7.6 GB | 5 | 0 |
| MainPHI3 | 4K / 7.6 GB | 5 | 0 |
| Phi3 Finetune Test | 4K / 7.6 GB | 6 | 0 |
| MediChat Revision | 4K / 7.6 GB | 6 | 0 |
| Phi3 Lora Unsloth | 4K / 7.6 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than saichand845/model .
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803