My Mistral Seekh Qna by InshaM

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My Mistral Seekh Qna is an open-source language model by InshaM. Features: 7.2b LLM, VRAM: 28.9GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

  Arxiv:1910.09700   Autotrain compatible   Conversational   En   Endpoints compatible   Gguf   Instruct   Lora   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow

My Mistral Seekh Qna Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

My Mistral Seekh Qna Parameters and Internals

LLM NameMy Mistral Seekh Qna
Repository 🤗https://huggingface.co/InshaM/my-mistral-seekh-qna 
Model NameInshaM/my-mistral-seekh-qna
Model Size7.2b
Required VRAM28.9 GB
Updated2025-08-29
MaintainerInshaM
Model Files  0.0 GB   0.4 GB   5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.8 GB: 5-of-6   4.2 GB: 6-of-6
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|gate_proj|v_proj|k_proj|o_proj
LoRA Alpha16
LoRA Dropout0.1
R Param64

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Note: green Score (e.g. "73.2") means that the model is better than InshaM/my-mistral-seekh-qna.

Rank the My Mistral Seekh Qna Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a