What are the hardware requirements for Famino 12B Model Stock?

Famino 12B Model Stock requires approximately 23.8 GB of VRAM and supports a context window of 1000K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Famino 12B Model Stock and how large is it?

Famino 12B Model Stock is developed by DreadPoor, a model with 12b 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 Famino 12B Model Stock?

Famino 12B Model Stock is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Famino 12B Model Stock by DreadPoor — VRAM 23.8GB, 1000K context

Name: Famino 12B Model Stock
Author: DreadPoor

Famino 12B Model Stock is an open-source language model by DreadPoor. Features: 12b LLM, VRAM: 23.8GB, Context: 1000K, License: apache-2.0, Merged, LLM Explorer Score: 0.21.

Merged Model Base model:cgato/nemo-12b-huma... Base model:dreadpoor/irix-12b-... Base model:dreadpoor/ward-12b-... Base model:pygmalionai/pygmali... Base model:redrix/godslayer-12... Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/DreadPoor/Famino-12B-Model_Stock

Famino 12B Model Stock Parameters and Internals

LLM Name	Famino 12B Model Stock
Repository 🤗	https://huggingface.co/DreadPoor/Famino-12B-Model_Stock
Base Model(s)	cgato/Nemo-12b-Humanize-SFT-v0.2.5-KTO Irix 12B Model Stock GodSlayer 12B ABYSS Pygmalion 3 12B Ward 12B Model Stock cgato/Nemo-12b-Humanize-SFT-v0.2.5-KTO DreadPoor/Irix-12B-Model_Stock redrix/GodSlayer-12B-ABYSS PygmalionAI/Pygmalion-3-12B DreadPoor/Ward-12B-Model_Stock
Merged Model	Yes
Model Size	12b
Required VRAM	23.8 GB
Updated	2026-08-07
Maintainer	DreadPoor
Model Type	mistral
Model Files	1.3 GB: 1-of-25 1.3 GB: 2-of-25 1.0 GB: 3-of-25 0.9 GB: 4-of-25 0.9 GB: 5-of-25 0.9 GB: 6-of-25 1.0 GB: 7-of-25 0.9 GB: 8-of-25 0.9 GB: 9-of-25 0.9 GB: 10-of-25 1.0 GB: 11-of-25 0.9 GB: 12-of-25 0.9 GB: 13-of-25 0.9 GB: 14-of-25 1.0 GB: 15-of-25 0.9 GB: 16-of-25 0.9 GB: 17-of-25 0.9 GB: 18-of-25 1.0 GB: 19-of-25 0.9 GB: 20-of-25 0.9 GB: 21-of-25 0.9 GB: 22-of-25 1.0 GB: 23-of-25 0.9 GB: 24-of-25 0.8 GB: 25-of-25
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.53.0
Tokenizer Class	PreTrainedTokenizer
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Famino 12B Model Stock 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 DreadPoor/Famino-12B-Model_Stock.