lightweight coding model for long-horizon tasks, agentic coding, and agentic reasoning.
🏗️ Building on HF
wepiqxx
wepiqx
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updated a collection about 2 hours ago
OxCoder updated a model about 2 hours ago
wepiqx/OxCoder-9B-MERNIK-GGUF updated a model about 2 hours ago
wepiqx/NeoHorse-1-9B-MERNIK-GGUFOrganizations
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Measure-first quantization protocol
Ornith-1.5, a major step toward building foundation models through end-to-end self-improvement.
NeoHorse-1-9B is a 9B causal language model and an initial prototype on the path toward recursive self-improvement (RSI).
Spark-X2.5-4B and Spark-X2.5-1.7B, two compact, general-purpose language models designed to make capable AI more practical, efficient, and accessible.
post-training quantization method for GGUF models that uses an imatrix-driven priority queue to maximise theoretical quality per megabyte.
lightweight coding model for long-horizon tasks, agentic coding, and agentic reasoning.
NeoHorse-1-9B is a 9B causal language model and an initial prototype on the path toward recursive self-improvement (RSI).
Measure-first quantization protocol
Spark-X2.5-4B and Spark-X2.5-1.7B, two compact, general-purpose language models designed to make capable AI more practical, efficient, and accessible.
Ornith-1.5, a major step toward building foundation models through end-to-end self-improvement.
post-training quantization method for GGUF models that uses an imatrix-driven priority queue to maximise theoretical quality per megabyte.