Reasoning-1 1K Demo (Finetune of Qwen2.5-14B-IT on Reasoning-1-1k dataset)

Q4_K_M GGUF-quant available here

This is SFT-finetune Qwen2.5-14B-IT on Reasoning-1-1K dataset. This is far from a perfect model, its main purpose is to show an example of using the dataset.

Base model: Qwen/Qwen2.5-14B-Instruct
Model type: Qwen2ForCausalLM
Number of parameters: 14.8B
Precision: FP16
Training method: SFT
Training dataset: fluently-sets/reasoning-1-1k
Languages: English (mostly)

Trained by Fluently Team (@ehristoforu) with Unsloth AI with love🥰

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Safetensors

Model size

14.8B params

Tensor type

FP16

Inference Examples

Text Generation

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Qwen/Qwen2.5-14B

Finetuned

Qwen/Qwen2.5-14B-Instruct

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Dataset used to train fluently-sets/reasoning-1-1k-demo

Collection including fluently-sets/reasoning-1-1k-demo

Reasoning

Collection

Reasoning datasets by Fluently Datasets • 2 items • Updated 3 days ago • 1