deepseek-ai / deepseek-ai/FlashMLA

DeepSeek-Coder-V2-Lite-Instruct 16B running locally on an RTX 2050 laptop

Open
#206 0 comments 0 reactions 0 assignees View on GitHub
Dominant language
C++
Stars
12.9k
Forks
1.2k
Avg merge
4h 20m
Merged PRs (30d)
2

Description

Hello DeepSeek team,

We are developing Bright AI, a local inference technology focused on making large AI models practical on affordable hardware.

We have successfully demonstrated DeepSeek-Coder-V2-Lite-Instruct 16B running locally on an NVIDIA RTX 2050 laptop.

Running a model of this size on hardware in this class is normally considered impractical, but Bright AI made it possible to run the model locally and interact with it.

Recorded demonstration:
https://huggingface.co/spaces/waziry/bright-ai-runs-deepseek-16b-on-rtx2050

We are sharing this result because DeepSeek-Coder-V2-Lite-Instruct was the model used in our demonstration, and we would appreciate feedback from the DeepSeek team.

We believe this technology could help make powerful local AI more practical for affordable computers, robots, drones, autonomous machines, and other edge devices.

We are also open to discussing possible technical collaboration or integration with the DeepSeek team.

Thank you,

Bright AI

Contributor guide

No contributing guide indexed for this repository

Research direction

Review the issue text and its linked Hugging Face demonstration to understand the reported DeepSeek-Coder-V2-Lite-Instruct 16B run on an NVIDIA RTX 2050. There is no requested code change, file, test, or completion criterion; the next step would be maintainer feedback on whether a technical collaboration or integration is wanted.

Written by the indexing model from the issue text.

Assessment

Tech stack
cpp
Domain
ai-infra-agents, machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
15/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.