You might find our new 3B reasoning open model. It ranked better than llma, Gemma, and Granite on the tiny category and it is a glimps for our new ways to train an LLM.
OPEN SOURCE
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AI21 Labs Launches New 3B Reasoning Open Model
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You might find our new 3B reasonoing open model intersting. It's ranked above llma, Granite, Gemma, etc. on the tiny category. It has effective long context and excel in IF benchmarks.
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AI21 Labs Launches New 3B Reasoning Open Model Hybrid Architecture
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Check out our new 3B reasonong open model – hybrid mamba nd transformer. It's ranked above Granite, Gemma, llma, etc. on the tiny category.
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New 3B Jamba Model Ranked #1 on IFBench
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You should try our new 3B Jamba. Ranked #1 on IFBench (tiny model category). It's an open [reasoning] model –
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AI21 Labs Announces Jamba Reasoning 3B Release
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Appreciate the shout-out, @AMULETAnalytics We’re thrilled to share Jamba Reasoning 3B with the world.
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Ant Ling releases 1T-params open-source coding model
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Ant Ling introduced a new 1T-params, non thinking open source model with a good performance on coding tasks. 1T
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Ollama’s bloated wrapper fails to match ggml’s efficiency
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do not use Ollama ggerganov wrote blazing-fast
C++ inference (ggml, llama.cpp) then Ollama wrapped it
in a bloated binary and is now somehow the face of local LLMs
soaking up VC hype and it's not even a good wrapper lol -
Run Claude Code Locally on Your Own GPU Setup
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tired of Anthropic’s weekly limits and nerfed models? with one command and a few GPUs,
you can route Claude Code to your own local LLM Buy a GPU p.s. full video tutorial pinned at the top of my profile -
Jamba 1.5 Large Now Available for Local Inference Download
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5/5 Available today for download & local inference on @huggingface
, @kaggle
, @lmstudio
, and llama.cpp. -
Jamba Reasoning 3B: Exceptional Performance on Extended Contexts
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3/5 Where most other tiny models choke at context lengths above 8K, Jamba Reasoning 3B stays steady, with a consistent 30-40 tokens/second on an M3 MacBook Pro, regardless of context size. This is up to an order of magnitude faster than other on-device models.