4bit Autotrain compatible Base model:quantized:unsloth/m... Base model:unsloth/mistral-7b-... En Endpoints compatible Gguf Lora Mistral Pytorch Quantized Region:us Safetensors Sft Sharded Trl Unsloth
Mistral Llm V4 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 Llm V4 Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | Mistral Llm V4 |
| Repository 🤗 | https://huggingface.co/Bharat05092003/mistral_llm_v4 |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2024-11-21 |
| Maintainer | Bharat05092003 |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | 4bit|gguf |
| 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|up_proj|o_proj|v_proj|k_proj|q_proj|down_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 16 |
Best Alternatives to Mistral Llm V4
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ReWiz 7B | 0K / 14.5 GB | 517 | 0 |
| Boptruth NeuralMonarch 7B | 0K / 14.4 GB | 494 | 2 |
| ...rendyol 7B Base V1 MtLoRA Entr | 0K / 14.6 GB | 98 | 0 |
| Mistral 7B V0.1 Hitl | 0K / 14.4 GB | 5 | 0 |
| Gemma 7B English To Hinglish | 0K / 17.1 GB | 34 | 0 |
| ...rix Philosophy Mistral 7B LoRA | 0K / 14.4 GB | 928 | 5 |
| Gumzo Llama 00 | 0K / 0.3 GB | 37 | 0 |
| Legal Summarizer | 0K / 14.4 GB | 37 | 0 |
| Medilora Mistral 7B | 0K / 14.4 GB | 180 | 4 |
| EvolCodeLlama 7B | 0K / 13.5 GB | 8 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Bharat05092003/mistral_llm_v4 .
Rank the Mistral Llm V4 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110