4bit Adapter Base model:adapter:unsloth/mis... Base model:unsloth/mistral-7b-... Finetuned Generated from trainer Instruct Lora Peft Quantized Region:us Safetensors Sft Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/moetezsa/mistral_numericnlg_FV
Mistral Numericnlg FV 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 Numericnlg FV Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | Mistral Numericnlg FV |
| Repository 🤗 | https://huggingface.co/moetezsa/mistral_numericnlg_FV |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 0.3 GB |
| Updated | 2025-08-15 |
| Maintainer | moetezsa |
| Instruction-Based | Yes |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | Adapter |
| 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 | o_proj|k_proj|v_proj|q_proj|gate_proj|down_proj|up_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 32 |
Best Alternatives to Mistral Numericnlg FV
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral Wikitable FV | 0K / 0.3 GB | 5 | 0 |
| Mistral Charttotext FV | 0K / 0.3 GB | 5 | 0 |
| Zephyr 7B Beta Agent Instruct | 0K / 0.3 GB | 5 | 1 |
| Falcon 7B Instruct 4bit Lora | 0K / 0 GB | 0 | 1 |
| Qwen Megumin | 0K / 0.1 GB | 5 | 1 |
| Lemonilia ShoriRP V0.75d | 0K / 0.2 GB | 8 | 1 |
| CRA V1 Guided 7B | 0K / 0.1 GB | 60 | 2 |
| Deepthink Reasoning Adapter | 0K / 0.2 GB | 4 | 3 |
| Mistral 7B Instruct Sa V0.1 | 0K / 0 GB | 5 | 0 |
| Qwen2.5 7b NotesCorrector | 0K / 0.6 GB | 10 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than moetezsa/mistral_numericnlg_FV .
Rank the Mistral Numericnlg FV Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124