Model Type |
| ||||||||||||
Additional Notes |
| ||||||||||||
Supported Languages |
| ||||||||||||
Training Details |
| ||||||||||||
Input Output |
|
LLM Name | Mistral 300M |
Repository 🤗 | https://huggingface.co/ayousanz/mistral-300M |
Model Size | 300m |
Required VRAM | 0 GB |
Updated | 2025-02-22 |
Maintainer | ayousanz |
Model Type | mistral |
Model Files | |
Model Architecture | MistralForCausalLM |
License | apache-2.0 |
Context Length | 4096 |
Model Max Length | 4096 |
Transformers Version | 4.35.2 |
Tokenizer Class | T5Tokenizer |
Padding Token | [PAD] |
Vocabulary Size | 50257 |
Torch Data Type | float32 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
Lite Oute 1 300M Instruct | 4K / 1.2 GB | 485 | 10 |
Lite Oute 1 300M | 4K / 1.2 GB | 354 | 7 |
...anese Mistral 300M Instruction | 4K / 1.4 GB | 122 | 3 |
Japanese Mistral 300M Base | 4K / 2.8 GB | 128 | 3 |
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟