What are the hardware requirements for Qwen2.5 1.5B It Think Rft Lr 1e 5 Batch 16 Epoch 1 Wildchat Cw 3K?

Qwen2.5 1.5B It Think Rft Lr 1e 5 Batch 16 Epoch 1 Wildchat Cw 3K 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 Think Rft Lr 1e 5 Batch 16 Epoch 1 Wildchat Cw 3K?

Qwen2.5 1.5B It Think Rft Lr 1e 5 Batch 16 Epoch 1 Wildchat Cw 3K 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 Think Rft Lr 1e 5 Batch 16 Epoch 1 Wildchat Cw 3K by kevinshin — VRAM 6.2GB, 32K context

Name: Qwen2.5 1.5B It Think Rft Lr 1e 5 Batch 16 Epoch 1 Wildchat Cw 3K
Author: kevinshin

Qwen2.5 1.5B It Think Rft Lr 1e 5 Batch 16 Epoch 1 Wildchat Cw 3K is an open-source language model by kevinshin. Features: 1.5b LLM, VRAM: 6.2GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.2.

Alignment-handbook Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-1.5b-i... Conversational Dataset:kevinshin/wildchat-cre... Endpoints compatible Generated from trainer Instruct Qwen2 Region:us Safetensors Sft Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/kevinshin/qwen2.5-1.5b-it-think-rft-lr-1e-5-batch-16-epoch-1-wildchat-cw-3k

Qwen2.5 1.5B It Think Rft Lr 1e 5 Batch 16 Epoch 1 Wildchat Cw 3K Parameters and Internals

LLM Name	Qwen2.5 1.5B It Think Rft Lr 1e 5 Batch 16 Epoch 1 Wildchat Cw 3K
Repository 🤗	https://huggingface.co/kevinshin/qwen2.5-1.5b-it-think-rft-lr-1e-5-batch-16-epoch-1-wildchat-cw-3k
Model Name	qwen2.5-1.5b-it-think-rft-lr-1e-5-batch-16-epoch-1-wildchat-cw-3k
Base Model(s)	Qwen/Qwen2.5-1.5B-Instruct Qwen/Qwen2.5-1.5B-Instruct
Model Size	1.5b
Required VRAM	6.2 GB
Updated	2026-08-06
Maintainer	kevinshin
Model Type	qwen2
Instruction-Based	Yes
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 Think Rft Lr 1e 5 Batch 16 Epoch 1 Wildchat Cw 3K 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 Think Rft Lr 1e 5 Batch 16 Epoch 1 Wildchat Cw 3K

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	128	0
Gte Qwen2 1.5B Instruct	128K / 7.1 GB	1154027	236
AceInstruct 1.5B	128K / 3.5 GB	139	22
... Abliterated TIES Qwen2.5 1.5B	128K / 3.5 GB	15	0
Saba1 1.8B	128K / 3.6 GB	6	1
Miniclaus Qw1.5B UNAMGS	128K / 3.5 GB	12	8
Bellatrix 1.5B XElite	128K / 3.5 GB	19	3
GCIRS Reasoning 1.5B R1	128K / 3.5 GB	9	1
...illed Scout 1.5B Instruct Gen1	128K / 3.5 GB	10	0
Deepthink 1.5B Open PRM	128K / 7.1 GB	12	0

Note: green Score (e.g. "73.2") means that the model is better than kevinshin/qwen2.5-1.5b-it-think-rft-lr-1e-5-batch-16-epoch-1-wildchat-cw-3k.