4-bit Autotrain compatible Base model:quantized:zeinab321... Base model:zeinab321/mistral Bitsandbytes En Endpoints compatible Lora Mistral Pytorch Region:us Safetensors Unsloth
Model Card on HF 🤗: https://huggingface.co/Zeinab321/Mistral
Mistral 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 Parameters and Internals
| LLM Name | Mistral |
| Repository 🤗 | https://huggingface.co/Zeinab321/Mistral |
| Base Model(s) | |
| Required VRAM | 0.2 GB |
| Updated | 2025-06-17 |
| Maintainer | Zeinab321 |
| Model Files | |
| Supported Languages | en |
| Model Architecture | AutoModelForCausalLM |
| License | apache-2.0 |
| Model Max Length | 32768 |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | gate_proj|down_proj|o_proj|up_proj|k_proj|v_proj|q_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 16 |
Best Alternatives to Mistral
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Tinyllama Cpt | 0K / 0.5 GB | 35 | 0 |
| Fine Tune Sentimental Llama | 0K / 0 GB | 24 | 0 |
| VLM2Vec LoRA | 0K / 0 GB | 77 | 10 |
| QuietStar Project | 0K / GB | 21 | 2 |
| Finetuned Llava Lora | 0K / 0.1 GB | 13 | 0 |
| Qwen7B Haiguitang | 0K / 15.3 GB | 24 | 0 |
| Alphace Email | 0K / 0.1 GB | 15 | 0 |
| Modelv3 | 0K / 13.5 GB | 15 | 0 |
| Accel | 0K / 0 GB | 15 | 0 |
| Chinese Poetry Generation | 0K / 0 GB | 8 | 0 |
Rank the Mistral Capabilities
🆘 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! 🌟
What open-source LLMs or SLMs are you in search of? 48225 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124