What are the hardware requirements for Menda 3B Optim 200?

Menda 3B Optim 200 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.

Who developed Menda 3B Optim 200 and how large is it?

Menda 3B Optim 200 is developed by weathermanj, a model with 3b 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 Menda 3B Optim 200?

Menda 3B Optim 200 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Menda 3B Optim 200 by weathermanj — VRAM 6.2GB, 32K context

Name: Menda 3B Optim 200
Author: weathermanj

Menda 3B Optim 200 is an open-source language model by weathermanj. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, License: other, Merged, LLM Explorer Score: 0.25.

Merged Model 3b Chat Conversational Dataset:gsm8k En Endpoints compatible Finetuned Grpo Instruct Menda Model-index Qwen Qwen2 Reasoning Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/weathermanj/Menda-3b-Optim-200

Menda 3B Optim 200 Parameters and Internals

LLM Name	Menda 3B Optim 200
Repository 🤗	https://huggingface.co/weathermanj/Menda-3b-Optim-200
Merged Model	Yes
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-07-10
Maintainer	weathermanj
Model Type	qwen2
Model Files	5.0 GB: 1-of-2 1.2 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.49.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Menda 3B Optim 200 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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Note: green Score (e.g. "73.2") means that the model is better than weathermanj/Menda-3b-Optim-200.