Скачать или смотреть Homunculus 12B and GLM-4-32B-Base-32K: 2 new Arcee AI research-oriented models

In this video, I introduce two new research-oriented models that Arcee AI recently released on Hugging Face.

Homunculus is a 12 billion-parameter instruction model distilled from Qwen3-235B onto the Mistral-Nemo backbone. It was purpose-built to preserve Qwen’s two-mode interaction style—/think (deliberate chain-of-thought) and /nothink (concise answers)—while running on a single consumer GPU, and even on CPU as demonstrated in the video.

GLM-4-32B-Base-32K is an enhanced version of THUDM's GLM-4-32B-Base-0414, specifically engineered to offer robust performance over an extended context window. While the original model's capabilities degraded after 8,192 tokens, this version maintains strong performance up to a 32,000-token context, making it ideal for tasks requiring long-context understanding and processing.

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** Homunculus
https://huggingface.co/arcee-ai/Homun...
https://huggingface.co/arcee-ai/Homun...

bin/llama-cli -m ~/models/homunculus/Homunculus-Q4_K_M.gguf --color -c 65535

"Looking at multi-head attention, group-query attention, multi-query attention, and multi-head latent attention, which method would optimize inference latency for a small language model with 32 attention layers running on a 64-core Intel CPU?"

** GLM-4-32B-Base-32K
https://huggingface.co/arcee-ai/GLM-4...
https://huggingface.co/bartowski/arce...
https://www.arcee.ai/blog/extending-a...

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