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Reasoning 1 1K Demo by fluently-sets

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  4bit   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-14b-in...   Conversational Dataset:fluently-sets/reasonin...   Demo   En   Endpoints compatible   Fluently-lm   Fluently-sets   Instruct   Pytorch   Quantized   Qwen2   Reasoning   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/fluently-sets/reasoning-1-1k-demo 

Reasoning 1 1K Demo Benchmarks

MMLU Pro: 41.93
GPQA: 11.41
MUSR: 9.69
BBH: 48.94
IFEval: 75.25 vs 88 (so35)-14.5%
MATH Lvl 5: 0.08
LLME Score: 0.3335
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Reasoning 1 1K Demo (fluently-sets/reasoning-1-1k-demo)

Reasoning 1 1K Demo Parameters and Internals

LLM NameReasoning 1 1K Demo
Repository 🤗https://huggingface.co/fluently-sets/reasoning-1-1k-demo 
Base Model(s)  Qwen/Qwen2.5-14B-Instruct   Qwen/Qwen2.5-14B-Instruct
Model Size14b
Required VRAM29.7 GB
Updated2025-02-05
Maintainerfluently-sets
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   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 Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than fluently-sets/reasoning-1-1k-demo.

Rank the Reasoning 1 1K Demo Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Text Summarization and Feature Extraction  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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