What are the hardware requirements for Dolly V2 GGML?

Dolly V2 GGML requires approximately 1.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Dolly V2 GGML and how large is it?

Dolly V2 GGML is developed by rustformers, 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 Dolly V2 GGML?

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

Dolly V2 GGML by rustformers — VRAM 1.6GB

Name: Dolly V2 GGML
Author: rustformers

Dolly V2 GGML is an open-source language model by rustformers. Features: 12b LLM, VRAM: 1.6GB, License: mit, Quantized, LLM Explorer Score: 0.07.

Dataset:databricks/databricks-... En Endpoints compatible Ggml Gpt neox Llm-rs Q4 Q4 0 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/rustformers/dolly-v2-ggml

Dolly V2 GGML Parameters and Internals

Model Type

text-generation

Use Cases

Areas:

Instruction following tasks, Text generation

Primary Use Cases:

brainstorming, classification, closed QA, generation, information extraction, open QA, summarization

Additional Notes

The model is a GGML converted version of original Databricks Dolly-V2 models, suitable for various quantization levels and optimized for different hardware settings.

Supported Languages

en (Full)

Training Details

Data Sources:

databricks-dolly-15k

Methodology:

Instruction/response fine-tuning from InstructGPT capabilities

Input Output

Accepted Modalities:

text

LLM Name	Dolly V2 GGML
Repository 🤗	https://huggingface.co/rustformers/dolly-v2-ggml
Model Size	12b
Required VRAM	1.6 GB
Updated	2026-08-08
Maintainer	rustformers
Model Type	gpt_neox
Model Files	23.7 GB 6.7 GB 6.7 GB 5.5 GB 1.6 GB 1.6 GB 2.1 GB 2.1 GB 13.7 GB 3.9 GB 3.9 GB 5.2 GB 5.2 GB
Supported Languages	en
GGML Quantization	Yes
Quantization Type	ggml\|q4\|q4_0\|q5_1
Model Architecture	AutoModel
License	mit

Rank the Dolly V2 GGML 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 Dolly V2 GGML

Best Alternatives	Context / RAM	Downloads	Likes
...tral Nemo 12B Abliterated LORA	0K / 0.5 GB	0	4
... 12b Reasoning Psychology Lora	0K / 0.2 GB	0	2
Mistral FreeLiPPA LoRA 12B	0K / 1.8 GB	4	1
Llama3 12B Wwe GGUF	0K / 5.3 GB	189	0
Calme 12B Instruct V0.1 GGUF	0K / 4.7 GB	381	2
Merlyn Education Safety GGUF	0K / 4.9 GB	165	1
...ast Pythia 12B Sft V8 7K Steps	0K / 23.7 GB	1	1
Ct2fast M2m100 12B Last Ckpt	0K / 23.6 GB	6	7
Ct2fast Dolly V2 12B	0K / 11.9 GB	3	3

Note: green Score (e.g. "73.2") means that the model is better than rustformers/dolly-v2-ggml.