What are the hardware requirements for M3 Open Lr5eminus5 Trainall?

M3 Open Lr5eminus5 Trainall 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 M3 Open Lr5eminus5 Trainall and how large is it?

M3 Open Lr5eminus5 Trainall is developed by anfindsen, 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 M3 Open Lr5eminus5 Trainall?

M3 Open Lr5eminus5 Trainall is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

M3 Open Lr5eminus5 Trainall by anfindsen — VRAM 1.2GB, 32K context

Name: M3 Open Lr5eminus5 Trainall
Author: anfindsen

M3 Open Lr5eminus5 Trainall is an open-source language model by anfindsen. Features: 596m LLM, VRAM: 1.2GB, Context: 32K, LLM Explorer Score: 0.18.

Arxiv:1910.09700 Conversational Endpoints compatible Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/anfindsen/M3_open_lr5eminus5_trainall

M3 Open Lr5eminus5 Trainall Parameters and Internals

LLM Name	M3 Open Lr5eminus5 Trainall
Repository 🤗	https://huggingface.co/anfindsen/M3_open_lr5eminus5_trainall
Model Size	596m
Required VRAM	1.2 GB
Updated	2026-05-27
Maintainer	anfindsen
Model Type	qwen3
Model Files	1.2 GB
Model Architecture	Qwen3ForCausalLM
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

Rank the M3 Open Lr5eminus5 Trainall 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

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Qwen3 0p6mimo S3 Bf161200	32K / 1.2 GB	117	0
Qwen3 Grpo2 96	32K / 1.2 GB	5	0
Qwen3 0p6 Bf16 600	32K / 1.2 GB	6	0
Rubi No Reason Phase 2	32K / 1.2 GB	11	0
Rubi No Reason Phase 1	32K / 1.2 GB	10	0
MNLP M3 Rag Model	32K / 2.4 GB	10	0

Note: green Score (e.g. "73.2") means that the model is better than anfindsen/M3_open_lr5eminus5_trainall.