What are the hardware requirements for MNLP M3 Rag Model?

MNLP M3 Rag Model 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 Rag Model and how large is it?

MNLP M3 Rag Model is developed by matyaydin, 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 MNLP M3 Rag Model?

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

MNLP M3 Rag Model by matyaydin — VRAM 1.2GB, 32K context

Name: MNLP M3 Rag Model
Author: matyaydin

MNLP M3 Rag Model is an open-source language model by matyaydin. Features: 0.6b LLM, VRAM: 1.2GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.19.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b-bas... Conversational Endpoints compatible Generated from trainer Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/matyaydin/MNLP_M3_rag_model

MNLP M3 Rag Model Benchmarks

LLME Score: 0.19331

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

MNLP M3 Rag Model (matyaydin/MNLP_M3_rag_model)

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MNLP M3 Rag Model Parameters and Internals

LLM Name	MNLP M3 Rag Model
Repository 🤗	https://huggingface.co/matyaydin/MNLP_M3_rag_model
Base Model(s)	Qwen/Qwen3-0.6B-Base Qwen/Qwen3-0.6B-Base
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-04-27
Maintainer	matyaydin
Model Type	qwen3
Model Files	1.2 GB 0.0 GB
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Best Alternatives to MNLP M3 Rag Model

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 Reranker 0.6B	40K / 1.2 GB	1577919	346
Qwen3 0.6B FP8	40K / 1.1 GB	1715405	58
Palindrome Sft V2 Qwen3	40K / 2.4 GB	81	0
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	349	0
Qwen3 0.6B	40K / 1.2 GB	259542	20
RexReranker 0.6B	40K / 1.2 GB	2754	10
Medical QA	40K / 1.2 GB	452	1
Meet7.1 0.6B	40K / 1.2 GB	164	0

Note: green Score (e.g. "73.2") means that the model is better than matyaydin/MNLP_M3_rag_model.

Rank the MNLP M3 Rag Model Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a

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MNLP M3 Rag Model by matyaydin

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MNLP M3 Rag Model Benchmarks

MNLP M3 Rag Model Parameters and Internals

Best Alternatives to MNLP M3 Rag Model

Rank the MNLP M3 Rag Model Capabilities

What open-source LLMs or SLMs are you in search of? 53570 in total.