What are the hardware requirements for Qwen3 1.7B Sft Wildchat Cw 3K Neg Rethink Pos?

Qwen3 1.7B Sft Wildchat Cw 3K Neg Rethink Pos requires approximately 6.9 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 1.7B Sft Wildchat Cw 3K Neg Rethink Pos and how large is it?

Qwen3 1.7B Sft Wildchat Cw 3K Neg Rethink Pos is developed by kevinshin, a model with 1.7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Qwen3 1.7B Sft Wildchat Cw 3K Neg Rethink Pos?

Qwen3 1.7B 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.

Qwen3 1.7B Sft Wildchat Cw 3K Neg Rethink Pos by kevinshin — VRAM 6.9GB, 40K context

Name: Qwen3 1.7B Sft Wildchat Cw 3K Neg Rethink Pos
Author: kevinshin

Qwen3 1.7B Sft Wildchat Cw 3K Neg Rethink Pos is an open-source language model by kevinshin. Features: 1.7b LLM, VRAM: 6.9GB, Context: 40K, LLM Explorer Score: 0.19.

Alignment-handbook Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-1.7b Conversational Dataset:kevinshin/wildchat-cre... Endpoints compatible Generated from trainer Qwen3 Region:us Safetensors Sft Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/kevinshin/qwen3-1.7b-sft-wildchat-cw-3k-neg-rethink-pos

Qwen3 1.7B Sft Wildchat Cw 3K Neg Rethink Pos Parameters and Internals

LLM Name	Qwen3 1.7B Sft Wildchat Cw 3K Neg Rethink Pos
Repository 🤗	https://huggingface.co/kevinshin/qwen3-1.7b-sft-wildchat-cw-3k-neg-rethink-pos
Model Name	qwen3-1.7b-sft-wildchat-cw-3k-neg-rethink-pos
Base Model(s)	Qwen/Qwen3-1.7B Qwen/Qwen3-1.7B
Model Size	1.7b
Required VRAM	6.9 GB
Updated	2026-04-18
Maintainer	kevinshin
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 1.9 GB: 2-of-2 0.0 GB
Model Architecture	Qwen3ForCausalLM
Context Length	40960
Model Max Length	40960
Transformers Version	4.55.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the Qwen3 1.7B Sft Wildchat Cw 3K Neg Rethink Pos 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

Best Alternatives to Qwen3 1.7B Sft Wildchat Cw 3K Neg Rethink Pos

Best Alternatives	Context / RAM	Downloads	Likes
Lucy 128K	128K / 3.4 GB	123	112
Polaris 1.7B Preview	128K / 3.4 GB	73	8
DictaLM 3.0 1.7B Instruct	60K / 3.4 GB	2842	1
Qwen3 1.7B	40K / 4 GB	5633291	500
CORe Pico 4	40K / 3.4 GB	895	2
CORe Pico V3	40K / 3.4 GB	720	0
...en3 1.7B Teacher Note Severity	40K / 3.4 GB	386	0
KBevo Qwen3 1.7B SFT	40K / 3.4 GB	462	0
Qwen3 1.7B ONNX Web	40K / GB	178	1
RIFA FLASH 1.7B	40K / 3.4 GB	583	0

Note: green Score (e.g. "73.2") means that the model is better than kevinshin/qwen3-1.7b-sft-wildchat-cw-3k-neg-rethink-pos.