What are the hardware requirements for Dolly V2 7B?

Dolly V2 7B requires approximately 13.8 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Dolly V2 7B and how large is it?

Dolly V2 7B is developed by databricks, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Dolly V2 7B perform on standard benchmarks?

Dolly V2 7B has the following published scores: MMLU 25.18. Compare against reference models on this page or on the LLM Explorer leaderboards.

Dolly V2 7B by databricks — VRAM 13.8GB, 2K context

Name: Dolly V2 7B
Author: databricks

Dolly V2 7B is an open-source language model by databricks. Features: 7b LLM, VRAM: 13.8GB, Context: 2K, License: mit, LLM Explorer Score: 0.13, Arc: 44.5, HellaSwag: 69.6, MMLU: 25.2, GSM8K: 1.1.

Dataset:databricks/databricks-... En Gpt neox Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/databricks/dolly-v2-7b

Dolly V2 7B Parameters and Internals

Model Type

causal language model

Use Cases

Areas:

commercial applications, research

Limitations:

Syntactically complex prompts, Programming problems, Mathematical operations, Factual errors, Dates and times, Open-ended question answering, Hallucination, Enumerating lists of specific length, Stylistic mimicry, Sense of humor, Well-formatted letter writing

Supported Languages

en (high)

Training Details

Data Sources:

databricks/databricks-dolly-15k, EleutherAI/pythia-6.9b

Methodology:

Fine-tuned on a 15K record instruction corpus

Model Architecture:

Derived from Pythia-6.9B

Input Output

Accepted Modalities:

text

Performance Tips:

Using torch_dtype=torch.bfloat16 is generally recommended to reduce memory usage.

LLM Name	Dolly V2 7B
Repository 🤗	https://huggingface.co/databricks/dolly-v2-7b
Model Size	7b
Required VRAM	13.8 GB
Updated	2025-12-20
Maintainer	databricks
Model Type	gpt_neox
Model Files	13.8 GB
Supported Languages	en
Model Architecture	GPTNeoXForCausalLM
License	mit
Context Length	2048
Model Max Length	2048
Transformers Version	4.25.1
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50280
Torch Data Type	bfloat16

Rank the Dolly V2 7B 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 7B

Best Alternatives	Context / RAM	Downloads	Likes
Literature 7B 16384	16K / 36 GB	9	16
RedPajama 7B 16384	16K / 36 GB	8	4
Stablelm Tuned Alpha 7B	4K / 31.9 GB	713	361
Stablelm Base Alpha 7B	4K / 31.9 GB	884	208
Stablelm 7B Sft V7 Epoch 3	4K / 32.4 GB	64	67
StableLManticore 7B	4K / 16 GB	10	1
Pythia 6.9B Deduped 4K	4K / 27.2 GB	8	10
Stablelm 7B	4K / 31.9 GB	7	2
Open Calm 7B	2K / 13.9 GB	523	205
Sarashina1 7B	2K / 13.9 GB	11	1

Note: green Score (e.g. "73.2") means that the model is better than databricks/dolly-v2-7b.