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Showing 1-6 of 6Results matching "vLLM"

Yesterday

1 story

YesterdayModels

Launch Models

IFM Releases Six K2 Horizon Models With Weights, Code and Training Data

The new lineup gives developers models from 0.9B to 375B parameters under Apache 2.0, while putting IFM’s performance claims and unusually broad training record in public view.

3 min

Earlier this week

1 story

Aug 31, 2026Models

Open release Models

DeepSeek Releases 305B Vision Weights Under MIT License, but Local Use Needs Serious Hardware

The release gives developers the model files and serving references needed to run or adapt DeepSeek-V4-Flash-Vision-Exp independently. Its 168GB size means that freedom is aimed more at infrastructure-equipped teams than typical individual users.

3 min

Last week

3 stories

Aug 27, 2026Models

Research Models

Netflix’s GenRec Pairs a 0.006% Gain With Catalog-Bound LLM Ranking

The online result is statistically significant but too opaque to measure as a product outcome. The clearer contribution is a recommendation architecture that constrains an LLM to available titles while managing inference cost.

3 min

Aug 26, 2026Models

Open release Models

IBM Releases Granite 4.2 Open Weights, Reserving Agentic Training for 8B and 30B

The new family gives self-hosted deployments a choice between a smaller tool-capable model and larger variants trained for code, search and other tool-use tasks.

2 min

Aug 24, 2026Models

Open release Models

MiniMax Maps H3 to 24GB PCs and Server Stacks, but Keeps Context Layer Hosted

The index gives developers more routes to run and adapt H3, yet the layer that turns mixed media into model-ready context remains an API product—and local use is restricted in several major markets.

3 min

August 2026

1 story

Aug 21, 2026Models

Benchmark Models

Open Models Are Catching the Frontier Faster. Benchmark Scores Aren’t the Whole Contest.

SemiAnalysis sees the lag from closed-model breakthroughs to open-model benchmark parity shrinking across three AI eras. But a comparable model score still leaves a harder product question: who can turn capability into dependable agent work?

4 min