What are the hardware requirements for Qwen2.5 1.5B It Rft Sft Wildchat Cw 3K Neg Rethink Pos?

Qwen2.5 1.5B It Rft Sft Wildchat Cw 3K Neg Rethink Pos requires approximately 6.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Qwen2.5 1.5B It Rft Sft Wildchat Cw 3K Neg Rethink Pos?

Qwen2.5 1.5B It Rft Sft Wildchat Cw 3K Neg Rethink Pos is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 1.5B It Rft Sft Wildchat Cw 3K Neg Rethink Pos by kevinshin — VRAM 6.2GB, 32K context

Name: Qwen2.5 1.5B It Rft Sft Wildchat Cw 3K Neg Rethink Pos
Author: kevinshin

Qwen2.5 1.5B It Rft Sft Wildchat Cw 3K Neg Rethink Pos is an open-source language model by kevinshin. Features: 1.5b LLM, VRAM: 6.2GB, Context: 32K, LLM Explorer Score: 0.19.

Alignment-handbook Base model:finetune:kevinshin/... Base model:kevinshin/qwen2.5-1... Conversational Dataset:kevinshin/wildchat-cre... Endpoints compatible Generated from trainer Qwen2 Region:us Safetensors Sft Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/kevinshin/qwen2.5-1.5b-it-rft-sft-wildchat-cw-3k-neg-rethink-pos

Qwen2.5 1.5B It Rft Sft Wildchat Cw 3K Neg Rethink Pos Parameters and Internals

LLM Name	Qwen2.5 1.5B It Rft Sft Wildchat Cw 3K Neg Rethink Pos
Repository 🤗	https://huggingface.co/kevinshin/qwen2.5-1.5b-it-rft-sft-wildchat-cw-3k-neg-rethink-pos
Model Name	qwen2.5-1.5b-it-rft-sft-wildchat-cw-3k-neg-rethink-pos
Base Model(s)	kevinshin/qwen2.5-1.5b-it-think-rft-lr-1e-5-batch-16-epoch-1-wildchat-cw-3k kevinshin/qwen2.5-1.5b-it-think-rft-lr-1e-5-batch-16-epoch-1-wildchat-cw-3k
Model Size	1.5b
Required VRAM	6.2 GB
Updated	2026-05-17
Maintainer	kevinshin
Model Type	qwen2
Model Files	5.0 GB: 1-of-2 1.2 GB: 2-of-2 0.0 GB
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.55.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the Qwen2.5 1.5B It Rft Sft Wildchat Cw 3K Neg Rethink Pos capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Qwen2.5 1.5B It Rft Sft Wildchat Cw 3K Neg Rethink Pos

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	23	0
ReaderLM V2	500K / 3.1 GB	35356	804
Reader Lm 1.5B	250K / 3.1 GB	385	608
DeepSeek R1 Distill Qwen 1.5B	128K / 3.5 GB	600051	1545
Edu Slm	128K / 3.5 GB	358	1
DeepSeek R1 Distill Qwen 1.5B	128K / 3.5 GB	209	1
Pulsar Coder V1	128K / 3.1 GB	291	1
Ko R1 1.5B Preview	128K / 7.1 GB	8	9
MLR Executor Qwen 1.5B	128K / 3.5 GB	503	0
Axiom Python 1.5B	128K / 3.1 GB	312	0

Note: green Score (e.g. "73.2") means that the model is better than kevinshin/qwen2.5-1.5b-it-rft-sft-wildchat-cw-3k-neg-rethink-pos.