Laguna-S-2.1-JANG_6M

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JANGQ-AI/Laguna-S-2.1-JANG_6M

JANG_6M JANG affine bundle of poolside/Laguna-S-2.1 — 118B-parameter / ~8B-active MoE for agentic coding and long-horizon work, quantized for Apple Silicon.

Attention (incl. the softplus output gate), shared expert, router, and norms stay high precision; the 256-routed-expert bulk carries 6-bit gate/up/down, protected by activation-aware (AWQ) scales chosen by measured quantization error against a no-AWQ baseline (3.1% lower reconstruction error at this bit width).

Bundle

Measured (M5 Max, 128 GB, greedy, wired)

Chat / reasoning

• GLM-style think tags; enable_thinking toggles reasoning (thinking is ON by default in this revision's template; pass enable_thinking=False to disable)
• The FULL chat template is inlined in tokenizer_config.json (upstream ships only an {% include %} stub that most runtimes cannot resolve — inlining is what makes the reasoning toggle actually work)
• Stop tokens eos_token_id = [2, 24] — id 24 is end-of-turn and must be in the stop set
• Template emits its own leading 〈|EOS|〉 (bos 2): do not prepend another
• Tool calls: <tool_call>name<arg_key>k</arg_key><arg_value>v</arg_value></tool_call>
• Vendor sampling: temperature 1.0, top_p 1.0, top_k 20

Loaders must honor the per-module {bits, group_size, mode} overrides in config.json[quantization].

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Quantized and verified by Jinho Jang ([email protected]). License: OpenMDW-1.1 (inherited).