cohere

Cohere Labs releases North-Mini-Code-1.0-eagle, a draft model for speculative decoding to accelerate code generation. It features three dense transformer layers with sliding window attention and is compatible with fp8/w4a4 target models.

Cohere Labs releases North Mini Code, a 30B parameter (3B active) open-source coding model under Apache 2.0, optimized for code generation and agentic tasks, capable of running locally with 20GB RAM via 4-bit quantization.

Cohere releases an open-source 2B parameter Arabic ASR model optimized for Arabic dialect performance and Arabic-English code-switching, based on the Conformer encoder-decoder architecture.

Cohere releases North Mini Code, a 30B-A3B open-weights model with 4-bit quantization for code generation and agentic coding tasks, supporting 256K context.

GGUF quantized versions of Cohere's command-a-plus-05-2026 model, optimized for llama.cpp and available in various quantization levels for local inference.

This paper introduces the 'culture funnel' concept, demonstrating that cultural signals in LLM training data sharply decline during post-training stages. The authors release a 5.6M-sample tagged dataset to help preserve cultural grounding in model alignment.

Cohere has released GGUF quantized versions of its Command A+ model (25B active / 218B total parameters, Apache 2.0) for local inference, optimized for agentic and multilingual tasks.

Pull request to add architecture support for the cohere2-MoE model to llama.cpp, enabling inference of this Mixture of Experts model.

Cohere released a new lightweight 30B open-weight model for agentic coding tasks, built on Command A+ with parallel transformer design, showing strong performance on agentic benchmarks like Terminal-Bench and SWE-Bench.

Silvia Sapora shares a comprehensive guide on interviewing for Research Scientist roles at top AI labs, covering preparation, logistics, negotiation, and emotional challenges, based on her successful experience landing offers from DeepMind and others.

Cohere Transcribe, an open-source speech recognition model, achieved first place on Hugging Face's new Far-Field ASR benchmark.

This page hosts GGUF quantized versions of Cohere's North-Mini-Code-1.0 model, a 30B-A3B MoE model optimized for code generation and agentic tasks. Instructions are provided for building llama.cpp from a specific PR to support the cohere2moe architecture.

Cohere officially launches North Mini Code, a coding model, with weights available on Hugging Face and deployment support for vLLM and MLX.

Cohere released North Mini Code, its first open-source coding model under Apache 2.0, designed to be small, cost-effective, locally deployable, and focused on agentic performance.

Cohere and Cohere Labs released North Mini Code, an open weights 30B-A3B parameter model optimized for code generation, agentic software engineering, and terminal tasks, with strong benchmark results on SWE-Bench and Terminal-Bench.

Cohere released its first open-source coding model, North Mini Code Small, designed for efficient agentic performance and community input.

Cohere released North Mini Code, a 30B-parameter Mixture-of-Experts model with 3B active parameters under Apache 2.0, optimized for agentic software engineering tasks and outperforming similar-sized models on coding benchmarks.

Cohere has released an early access coding model, BLS-Mini-Code-1.0, a 30B parameter model available on Hugging Face for testing.

Cohere Labs released North Mini Code, a 30B-parameter (3B active) open-weights model optimized for code generation, agentic software engineering, and terminal tasks, licensed under Apache 2.0.

A PR for mlx-lm adds support for Cohere's Command A+ (218B MoE) model on Apple Silicon, with architecture details for the implementation.