4-bit 4bit Autotrain compatible Base model:quantized:unsloth/m... Base model:unsloth/mistral-7b-... Bitsandbytes Conversational Endpoints compatible Fr Lora Mistral Quantized Region:us Safetensors Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/samirun974/mistralbasket1
Mistralbasket1 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)
Mistralbasket1 Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | Mistralbasket1 |
| Repository 🤗 | https://huggingface.co/samirun974/mistralbasket1 |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 0.2 GB |
| Updated | 2025-02-22 |
| Maintainer | samirun974 |
| Model Files | |
| Supported Languages | fr |
| Quantization Type | 4bit |
| 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 | q_proj|v_proj|o_proj|up_proj|gate_proj|k_proj|down_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 16 |
Best Alternatives to Mistralbasket1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 8K Sports | 0K / 15.2 GB | 14 | 0 |
| WorldBuilder 7B | 0K / 14.5 GB | 10 | 0 |
| Unsloth Alpaca | 0K / 14.5 GB | 5 | 0 |
| ... WAEMU Africa Banking Analysis | 0K / 15.2 GB | 6 | 1 |
| Gemma 7B Bnb 4bit | 0K / 17.1 GB | 5 | 0 |
| Mistral 7B V0.3 | 0K / 14.5 GB | 7 | 0 |
| Refined Llama3 | 0K / 0.2 GB | 6 | 0 |
| Gemma Unsloth Alpaca | 0K / 17.1 GB | 7 | 2 |
| Mistral 7B Instruct 4bit | 0K / 0.2 GB | 8 | 1 |
| Qwen 2 Healthcare Checkpoint 1 | 0K / 15.2 GB | 0 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than samirun974/mistralbasket1 .
Rank the Mistralbasket1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227