What are the hardware requirements for Palindrome Sft V2 Qwen3?

Palindrome Sft V2 Qwen3 requires approximately 2.4 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 Palindrome Sft V2 Qwen3 and how large is it?

Palindrome Sft V2 Qwen3 is developed by SantiagoC, a model with 0.6b 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 Palindrome Sft V2 Qwen3?

Palindrome Sft V2 Qwen3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Palindrome Sft V2 Qwen3 by SantiagoC — VRAM 2.4GB, 40K context

Name: Palindrome Sft V2 Qwen3
Author: SantiagoC

Palindrome Sft V2 Qwen3 is an open-source language model by SantiagoC. Features: 0.6b LLM, VRAM: 2.4GB, Context: 40K.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b Conversational Endpoints compatible Generated from trainer Hf jobs Ml-intern Qwen3 Region:us Safetensors Sft Trackio Trackio:https://huggingface.co... Trl

Model Card on HF 🤗: https://huggingface.co/SantiagoC/palindrome-sft-v2-qwen3

Palindrome Sft V2 Qwen3 (SantiagoC/palindrome-sft-v2-qwen3)

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Palindrome Sft V2 Qwen3 Parameters and Internals

LLM Name	Palindrome Sft V2 Qwen3
Repository 🤗	https://huggingface.co/SantiagoC/palindrome-sft-v2-qwen3
Model Name	palindrome-sft-v2-qwen3
Base Model(s)	Qwen/Qwen3-0.6B Qwen/Qwen3-0.6B
Model Size	0.6b
Required VRAM	2.4 GB
Updated	2026-05-07
Maintainer	SantiagoC
Model Type	qwen3
Model Files	2.4 GB 0.0 GB
Model Architecture	Qwen3ForCausalLM
Context Length	40960
Model Max Length	40960
Transformers Version	5.8.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Best Alternatives to Palindrome Sft V2 Qwen3

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 Reranker 0.6B	40K / 1.2 GB	1424638	335
Qwen3 0.6B FP8	40K / 1.1 GB	1715405	58
Palindrome Sft Qwen3	40K / 2.4 GB	71	0
Meet7.5 0.6b Writer Exp	40K / 1.2 GB	410	0
Meet7.5 0.6B	40K / 1.2 GB	347	0
Qwen3 0.6B	40K / 1.2 GB	259542	20
Medical QA	40K / 1.2 GB	452	1
RexReranker 0.6B	40K / 1.2 GB	2358	10
Meet7.1 0.6B	40K / 1.2 GB	164	0
Qwen3 0.6B Instruct	40K / 1.5 GB	53	0

Note: green Score (e.g. "73.2") means that the model is better than SantiagoC/palindrome-sft-v2-qwen3.

Rank the Palindrome Sft V2 Qwen3 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

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Palindrome Sft V2 Qwen3 by SantiagoC

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Palindrome Sft V2 Qwen3 Parameters and Internals

Best Alternatives to Palindrome Sft V2 Qwen3

Rank the Palindrome Sft V2 Qwen3 Capabilities

What open-source LLMs or SLMs are you in search of? 53518 in total.