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Qwen 14B Tool Call On Reasonin by FluxiIA

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Qwen 14B Tool Call On Reasonin is an open-source language model by FluxiIA. Features: 14b LLM, VRAM: 29.7GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.18.

  4bit   Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Quantized   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/FluxiIA/Qwen_14b-tool_call_on_reasonin 

Qwen 14b Tool Call On Reasonin Benchmarks

LLME Score: 0.18045
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen 14B Tool Call On Reasonin (FluxiIA/Qwen_14b-tool_call_on_reasonin)
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Qwen 14B Tool Call On Reasonin Parameters and Internals

LLM NameQwen 14b Tool Call On Reasonin
Repository 🤗https://huggingface.co/FluxiIA/Qwen_14b-tool_call_on_reasonin 
Base Model(s)  unsloth/qwen2.5-14b-instruct-unsloth-bnb-4bit   unsloth/qwen2.5-14b-instruct-unsloth-bnb-4bit
Model Size14b
Required VRAM29.7 GB
Updated2025-09-23
MaintainerFluxiIA
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.7 GB: 6-of-6
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen 14B Tool Call On Reasonin

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Qwen2.5 14B Instruct 1M 8bit986K / 15.7 GB41212
Qwen2.5 14B Instruct 1M 4bit986K / 8.3 GB2612
...B Instruct 1M Unsloth Bnb 4bit986K / 14.3 GB2384
...en2.5 14B Instruct 1M Bnb 4bit986K / 9.9 GB52
...n2.5 Math 14B Instruct Preview32K / 29.7 GB8341
RQwen V0.132K / 29.7 GB3842
Qwen Carpmuscle V0.4.132K / 29.7 GB70
...wen2.5 Math 14B Instruct Alpha32K / 29.7 GB572
Reasoning 1 1K Demo32K / 29.7 GB231
Sphinx2.032K / 29.7 GB01
Note: green Score (e.g. "73.2") means that the model is better than FluxiIA/Qwen_14b-tool_call_on_reasonin.

Rank the Qwen 14B Tool Call On Reasonin Capabilities

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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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