Deep Cogito

Team

Activity Feed

AI & ML interests

None defined yet.

Recent Activity

drishanarora new activity about 1 month ago

deepcogito/cogito-671b-v2.1:Plans for smaller cogito v2.1

vasudevgupta updated a model about 2 months ago

deepcogito/cogito-671b-v2.1-FP8

vasudevgupta updated a model about 2 months ago

deepcogito/cogito-671b-v2.1

View all activity

Articles

Introducing Cogito v2.1

Nov 19, 2025

•

danielhanchen

posted an update 6 days ago

Post

496

Run Qwen-Image-2512, the new SOTA text-to-image model! 💜

It's the top performing open diffusion model and has more realistic + accurate images/text.

Run locally with 14GB RAM via our Dynamic GGUF: unsloth/Qwen-Image-2512-GGUF

Guide: https://unsloth.ai/docs/models/qwen-image-2512

2 replies

danielhanchen

posted an update 13 days ago

Post

3805

You can now run GLM-4.7, the new 355B parameter SOTA model on your local device (128GB RAM).✨

The model achieves SOTA performance on coding, agentic and chat benchmarks.

GGUF: unsloth/GLM-4.7-GGUF
Guide: https://docs.unsloth.ai/models/glm-4.7

3 replies

danielhanchen

posted an update 18 days ago

Post

2281

Google releases FunctionGemma, a new 270M parameter model that runs on just 0.5 GB RAM.✨

Built for tool-calling, run locally on your phone at 50+ tokens/s, or fine-tune with Unsloth & deploy to your phone.

GGUF: unsloth/functiongemma-270m-it-GGUF
Docs + Notebook: https://docs.unsloth.ai/models/functiongemma

2 replies

danielhanchen

posted an update 21 days ago

Post

5320

NVIDIA releases Nemotron 3 Nano, a new 30B hybrid reasoning model! 🔥

Has 1M context window & best in class performance for SWE-Bench, reasoning & chat. Run the MoE model locally with 24GB RAM.

GGUF: unsloth/Nemotron-3-Nano-30B-A3B-GGUF
💚 Step-by-step Guide: https://docs.unsloth.ai/models/nemotron-3

1 reply

danielhanchen

posted an update 25 days ago

Post

2049

Mistral's new SOTA coding models Devstral 2 can now be Run locally! (25GB RAM) 🐱
We fixed the chat template, so performance should be much better now!
24B: unsloth/Devstral-Small-2-24B-Instruct-2512-GGUF
123B: unsloth/Devstral-2-123B-Instruct-2512-GGUF

🧡Step-by-step Guide: https://docs.unsloth.ai/models/devstral-2

danielhanchen

posted an update about 1 month ago

Post

3703

Mistral's new Ministral 3 models can now be Run & Fine-tuned locally! (16GB RAM)
Ministral 3 have vision support and the best-in-class performance for their sizes.
14B Instruct GGUF: unsloth/Ministral-3-14B-Instruct-2512-GGUF
14B Reasoning GGUF: unsloth/Ministral-3-14B-Reasoning-2512-GGUF

🐱 Step-by-step Guide: https://docs.unsloth.ai/new/ministral-3
All GGUFs, BnB, FP8 etc. variants uploads: https://huggingface.co/collections/unsloth/ministral-3

3 replies

danielhanchen

posted an update about 1 month ago

Post

8482

Qwen3-Next can now be Run locally! (30GB RAM)
Instruct GGUF: unsloth/Qwen3-Next-80B-A3B-Instruct-GGUF

The models come in Thinking and Instruct versions and utilize a new architecture, allowing it to have ~10x faster inference than Qwen32B.
💜 Step-by-step Guide: https://docs.unsloth.ai/models/qwen3-next

Thinking GGUF: unsloth/Qwen3-Next-80B-A3B-Thinking-GGUF

drishanarora

in deepcogito/cogito-671b-v2.1 about 1 month ago

Plans for smaller cogito v2.1

#1 opened about 2 months ago by

ankandrew

vasudevgupta

updated 2 models about 2 months ago

deepcogito/cogito-671b-v2.1-FP8

Text Generation • 671B • Updated Nov 21, 2025 • 56 • • 9

deepcogito/cogito-671b-v2.1

Text Generation • 671B • Updated Nov 21, 2025 • 65 • • 27

deep-cogito-team

published an article about 2 months ago

Article