Qwen2.5 9K Lora Model by mikun

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Qwen2.5 9K Lora Model is an open-source language model by mikun. Features: 7b LLM, VRAM: 8.7GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.16.

  Arxiv:1910.09700   8-bit   Autotrain compatible   Bitsandbytes   Conversational   Endpoints compatible   Instruct   Lora   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen2.5 9K Lora Model Benchmarks

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

Qwen2.5 9K Lora Model Parameters and Internals

LLM NameQwen2.5 9K Lora Model
Repository 🤗https://huggingface.co/mikun/qwen2.5-9k-lora-model 
Model Size7b
Required VRAM8.7 GB
Updated2025-09-23
Maintainermikun
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   3.7 GB: 2-of-2
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|im_end|>
Vocabulary Size152064
LoRA ModelYes
Torch Data Typefloat16
Errorsreplace

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Qwen2.5 7B Instruct 1M986K / 15.4 GB32350369
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB172
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Qwen2.5 7B CelestialHarmony 1M986K / 14.8 GB297
Q2.5 Instruct 1M Harmony986K / 15.2 GB42
Impish QWEN 7B 1M986K / 15.2 GB56
COCO 7B Instruct 1M986K / 15.2 GB154
Apollo 7B986K / 15.2 GB60
Graph R1 7B986K / 15.3 GB43
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB140
Note: green Score (e.g. "73.2") means that the model is better than mikun/qwen2.5-9k-lora-model.

Rank the Qwen2.5 9K Lora Model 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