What are the hardware requirements for Ct2fast Dolly V2 12B?

Ct2fast Dolly V2 12B requires approximately 11.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ct2fast Dolly V2 12B and how large is it?

Ct2fast Dolly V2 12B is developed by michaelfeil, 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 Ct2fast Dolly V2 12B?

Ct2fast Dolly V2 12B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ct2fast Dolly V2 12B by michaelfeil — VRAM 11.9GB

Name: Ct2fast Dolly V2 12B
Author: michaelfeil

Ct2fast Dolly V2 12B is an open-source language model by michaelfeil. Features: 12b LLM, VRAM: 11.9GB, License: mit, LLM Explorer Score: 0.07.

Ctranslate2 Dolly-v2 Endpoints compatible Region:us

Model Card on HF 🤗: https://huggingface.co/michaelfeil/ct2fast-dolly-v2-12b

Ct2fast Dolly V2 12B Parameters and Internals

Model Type

text generation

Use Cases

Areas:

research, commercial applications

Considerations:

Below is an instruction that describes a task. Write a response that appropriately completes the request.

Additional Notes

This is a quantized version of the original model for fast inference.

Input Output

Input Format:

Prompt format

Accepted Modalities:

text

Output Format:

Text response

Performance Tips:

Using int8 inference accelerates performance 2x-8x.

LLM Name	Ct2fast Dolly V2 12B
Repository 🤗	https://huggingface.co/michaelfeil/ct2fast-dolly-v2-12b
Model Size	12b
Required VRAM	11.9 GB
Updated	2026-07-15
Maintainer	michaelfeil
Model Files	11.9 GB
Model Architecture	AutoModel
License	mit
Tokenizer Class	GPTNeoXTokenizer

Rank the Ct2fast Dolly V2 12B 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 michaelfeil/ct2fast-dolly-v2-12b.