Mistral 7B Instruct V0.1 Summarize 64K QLoRANET Merged is an open-source language model by Ayush-1722. Features: 7b LLM, VRAM: 4.1GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.12.
| LLM Name | Mistral 7B Instruct V0.1 Summarize 64K QLoRANET Merged |
| Repository π€ | https://huggingface.co/Ayush-1722/Mistral-7B-Instruct-v0.1-Summarize-64K-QLoRANET-Merged |
| Model Size | 7b |
| Required VRAM | 4.1 GB |
| Updated | 2026-09-07 |
| Maintainer | Ayush-1722 |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.40.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives |
Context / RAM |
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|---|---|---|---|
| ...Nemo Instruct 2407 Abliterated | 1000K / 24.5 GB | 220 | 20 |
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| ...daz Web AI ChatML 512K Project | 512K / 14.5 GB | 12 | 0 |
| ...1 Summarize 64K LoRANET Merged | 128K / 14.4 GB | 13 | 0 |
| Mistral 7B Instruct V0.2 | 32K / 14.4 GB | 1115337 | 3184 |
| Mistral 7B Instruct V0.1 | 32K / 14.4 GB | 253629 | 1846 |
| Mistral 7B Instruct V0.2 | 32K / 14.4 GB | 1338 | 0 |
| Copywriting Llm | 32K / 4.1 GB | 122 | 1 |
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