What are the hardware requirements for MNLP M3 DPO Model Smoltalk Bigger Test?

MNLP M3 DPO Model Smoltalk Bigger Test requires approximately 1.2 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.

Who developed MNLP M3 DPO Model Smoltalk Bigger Test and how large is it?

MNLP M3 DPO Model Smoltalk Bigger Test is developed by lipefree, a model with 596m 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 MNLP M3 DPO Model Smoltalk Bigger Test?

MNLP M3 DPO Model Smoltalk Bigger Test is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MNLP M3 DPO Model Smoltalk Bigger Test by lipefree — VRAM 1.2GB, 32K context

Name: MNLP M3 DPO Model Smoltalk Bigger Test
Author: lipefree

MNLP M3 DPO Model Smoltalk Bigger Test is an open-source language model by lipefree. Features: 596m LLM, VRAM: 1.2GB, Context: 32K, LLM Explorer Score: 0.18.

Arxiv:1910.09700 Conversational Dpo Endpoints compatible Qwen3 Region:us Safetensors Trl

Model Card on HF 🤗: https://huggingface.co/lipefree/MNLP_M3_dpo_model_smoltalk_bigger_test

MNLP M3 DPO Model Smoltalk Bigger Test Parameters and Internals

LLM Name	MNLP M3 DPO Model Smoltalk Bigger Test
Repository 🤗	https://huggingface.co/lipefree/MNLP_M3_dpo_model_smoltalk_bigger_test
Model Size	596m
Required VRAM	1.2 GB
Updated	2026-04-21
Maintainer	lipefree
Model Type	qwen3
Model Files	1.2 GB
Model Architecture	Qwen3ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the MNLP M3 DPO Model Smoltalk Bigger Test 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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Note: green Score (e.g. "73.2") means that the model is better than lipefree/MNLP_M3_dpo_model_smoltalk_bigger_test.