What are the hardware requirements for Madlad400 10B Mt Ct2 Int8?

Madlad400 10B Mt Ct2 Int8 requires approximately 10.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Madlad400 10B Mt Ct2 Int8 and how large is it?

Madlad400 10B Mt Ct2 Int8 is developed by Heng666, a model with 10b 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 Madlad400 10B Mt Ct2 Int8?

Madlad400 10B Mt Ct2 Int8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Madlad400 10B Mt Ct2 Int8 by Heng666 — VRAM 10.7GB

Name: Madlad400 10B Mt Ct2 Int8
Author: Heng666

Madlad400 10B Mt Ct2 Int8 is an open-source language model by Heng666. Features: 10b LLM, VRAM: 10.7GB, LLM Explorer Score: 0.12.

Endpoints compatible Region:us

Model Card on HF 🤗: https://huggingface.co/Heng666/madlad400-10b-mt-ct2-int8

Madlad400 10B Mt Ct2 Int8 Parameters and Internals

LLM Name	Madlad400 10B Mt Ct2 Int8
Repository 🤗	https://huggingface.co/Heng666/madlad400-10b-mt-ct2-int8
Model Size	10b
Required VRAM	10.7 GB
Updated	2025-10-26
Maintainer	Heng666
Model Files	10.7 GB
Model Architecture	AutoModel

Rank the Madlad400 10B Mt Ct2 Int8 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

Best Alternatives to Madlad400 10B Mt Ct2 Int8

Best Alternatives	Context / RAM	Downloads	Likes
MN CharThink Temp	0K / 0.2 GB	121	0
Triangulum 10B GGUF	0K / 3.9 GB	175	2
Yarn Solar 10B 64K GGUF	0K / 4 GB	438	1
Yarn Solar 10B 32K GGUF	0K / 4 GB	234	1

Note: green Score (e.g. "73.2") means that the model is better than Heng666/madlad400-10b-mt-ct2-int8.