⚡ All JANG models are meant to be run in vMLX
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
| Field | Value |
|---|---|
| Source | poolside/Laguna-S-2.1 @ e80da38 |
| Architecture | laguna — 48 layers (12 global + 36 SWA w512), 118B-A8B, 256 experts top-10 + shared, 1M ctx |
| On-disk size | 96.5 GB (21 shards) |
| Routed experts | 6-bit gate/up/down affine, group 64, AWQ folded |
| Attention q/k/v/o + g_proj | 8-bit affine |
| Shared expert / dense FFN | 8-bit affine |
| Embeddings / lm_head | 6-bit / 8-bit affine |
| Router, e_score bias, norms | fp16 passthrough |
| Modality | text-only (verified from tensor index) |
Measured (M5 Max, 128 GB, greedy, wired)
| Metric | Value |
|---|---|
| Decode | 30.7 tok/s |
| Long-context cache parity | teacher-forced top-1 agreement 1.000 / 1.000 (pre/post the 512 sliding window, 2,913-token pass) |
Chat / reasoning
- GLM-style think tags;
enable_thinkingtoggles reasoning (thinking is ON by default in this revision's template; passenable_thinking=Falseto 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].
Quantized and verified by Jinho Jang (eric@jangq.ai). License: OpenMDW-1.1 (inherited).