Mistral 7B News Cnn Merged is an open-source language model by shivam9980. Features: 7b LLM, VRAM: 0.3GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.16.
| LLM Name | Mistral 7B News Cnn Merged |
| Repository 🤗 | https://huggingface.co/shivam9980/mistral-7b-news-cnn-merged |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 0.3 GB |
| Updated | 2026-07-21 |
| Maintainer | shivam9980 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | AutoModel |
| 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|o_proj|gate_proj|v_proj|k_proj|up_proj|down_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 32 |
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