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wyrdsekai/companion-3.5-4b-gguf
companion-3.5-4b-gguf is a text generation model from wyrdsekai. Use it when you need the model to write or continue text. The card lists the license as apache-2.0.
The voice model of a wyrdsekai household — the tier that speaks. Every user-facing line a companion says is authored or finished by this model, so that a household's companions each keep a distinct spoken voice even w…
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From the Hugging Face model README
The voice model of a wyrdsekai household — the tier
that speaks. Every user-facing line a companion says is authored or finished by
this model, so that a household's companions each keep a distinct spoken voice
even when the heavier drive tier did the thinking. In a standard install it
serves on :8201 (wyrdsekai-3.5-4b-v10-q4km.gguf); on phones it is the
recommended on-device model (validated ~5 tok/s on Snapdragon 8 Elite,
--think=false required).
Weights on Hugging Face (Apache-2.0, all tagged v0.1.0):
GGUF Q4_K_M (what installs run) ·
full-precision safetensors ·
MLX 4-bit (Apple Silicon).
wyrd setup fetches the GGUF for you — these links are for mirrors,
re-quantization, and fine-tuning.
Speech register, warmth without sycophancy, and fidelity to per-companion voice profiles (v10 pairs with the V8 voice-vector set). It runs with a deliberately small prompt — the heavy layers (tools, memory, catalogs) belong to the drive tier — so it is tuned to say true things briefly rather than to act.
v10 is the production voice line, paired with V8 voice vectors. Earlier voice versions established the register and the fact-preserving polish behaviour (structured confirmations must survive rephrasing).
Synthetic corpora: authored register/style sets and synthetic dialogues generated with Claude (Anthropic Batch API). No end-user or household conversation data is in these weights. Per-companion voice individuation happens locally, on the household's node, and never leaves it.
--think=false is required on constrained devices.Apache 2.0, inherited cleanly from the Qwen3.5 base and applied to this derivative. Attribution to the base model is retained.