What are the hardware requirements for Diff Codegen 2B V2?

Diff Codegen 2B V2 requires approximately 5.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Diff Codegen 2B V2 and how large is it?

Diff Codegen 2B V2 is developed by CarperAI, a model with 2b 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 Diff Codegen 2B V2?

Diff Codegen 2B V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Diff Codegen 2B V2 by CarperAI — VRAM 5.7GB

Name: Diff Codegen 2B V2
Author: CarperAI

Diff Codegen 2B V2 is an open-source language model by CarperAI. Features: 2b LLM, VRAM: 5.7GB, License: mit, Code Generating, LLM Explorer Score: 0.05.

Arxiv:2101.00027 Arxiv:2201.07311 Arxiv:2203.13474 Code Code-generation Codegen Diff model En Endpoints compatible Pytorch Region:us The pile

Model Card on HF 🤗: https://huggingface.co/CarperAI/diff-codegen-2b-v2

Diff Codegen 2B V2 Parameters and Internals

Model Type

causal-lm, code-generation

Use Cases

Primary Use Cases:

Prototyping code generation systems, Experimental purposes

Limitations:

Underperform on underrepresented languages, Not suitable for mission-critical settings

Additional Notes

Suggested for use in experiments, not commercial settings. Caution advised due to potential security vulnerabilities.

Training Details

Data Sources:

The Pile, GitHub commits via Google BigQuery Public Dataset

Data Volume:

19 million commits

Methodology:

Fine-tuned on a large dataset of commits. Formatted using Unified Diff Format for input to the language model.

Context Length:

2048

Hardware Used:

64 A100 GPUs provided by Stability AI

Input Output

Input Format:

Formatted as Unified Diff Format.

Accepted Modalities:

code

Output Format:

Code in diff format.

LLM Name	Diff Codegen 2B V2
Repository 🤗	https://huggingface.co/CarperAI/diff-codegen-2b-v2
Model Size	2b
Required VRAM	5.7 GB
Updated	2026-08-24
Maintainer	CarperAI
Model Type	codegen
Model Files	5.7 GB
Supported Languages	en code
Generates Code	Yes
Model Architecture	CodeGenForCausalLM
License	mit
Model Max Length	2048
Transformers Version	4.22.0.dev0
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	50295
Torch Data Type	float16
Activation Function	gelu_new

Rank the Diff Codegen 2B V2 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 Diff Codegen 2B V2

Best Alternatives	Context / RAM	Downloads	Likes
Archgen 2B V1	0K / 5.6 GB	7	0
...Python 18K Alpaca Full Dataset	0K / 5.6 GB	6	0
Salesforce Codegen 2B Multi Ov	0K / 11.1 GB	7	0
Nsql 2B	0K / 11.3 GB	15	9
Instruct Codegen 2B Multi	0K / 11.3 GB	10	1
...en 2B Mono Instruct Py Revised	0K / 11.3 GB	7	1
Codegen 2B Mono Xlcost	0K / 5.7 GB	6	1
Codegen 2B Multi Xlcost	0K / 5.7 GB	112	1
Fine Tuned Codegen 2B Verilog	0K / 11.3 GB	106	8
Codegen 2B Mono	0K / 5.7 GB	7632	21

Note: green Score (e.g. "73.2") means that the model is better than CarperAI/diff-codegen-2b-v2.