v6.1 release: post-NaN-fix at ctx=256, CE-only, 30K steps

README.md

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+---
+base_model: Qwen/Qwen2.5-0.5B-Instruct
+library_name: safetensors
+license: apache-2.0
+tags:
+  - qubitcoin
+  - aether
+  - blockchain
+  - quantum
+  - native-rust
+  - candle
+  - long-context
+language:
+  - en
+pipeline_tag: text-generation
+---
+
+# Aether Mind v6.1 — long-context after the NaN fix
+
+V6.1 is the **third public Aether release** and the first that
+trains on a meaningfully long context window. It supersedes
+[aether-mind-v6.0](https://huggingface.co/QuantumAI-Blockchain/aether-mind-v6.0)
+which was published with a forced `ctx=64` workaround because of a
+forward-pass numerical instability in the NSA compressed branch
+(`v6/attention.rs::compressed_branch`).
+
+That instability is now diagnosed + fixed. **Compressed-branch
+attention's causal mask was producing all-`-inf` rows for query
+positions before the first 64-token block completed, driving softmax
+to `0/0 = NaN`.** The fix tracks per-row validity, unmasks a single
+block on otherwise-fully-masked rows to keep softmax finite, and
+multiplies the branch output by a row-validity mask so those rows
+contribute zero attention (their proper behaviour). Source +
+verification log in
+[`docs/ops/v6-training-nan-bug.md`](https://github.com/QuantumAI-Blockchain/qubitcoin-aether/blob/presale/v1/docs/ops/v6-training-nan-bug.md);
+the fix landed in commit
+[`7f9189f8`](https://github.com/QuantumAI-Blockchain/qubitcoin-aether/commit/7f9189f8).
+
+V6.1 was trained at **4× the v6.0 context** (256 vs 64 tokens) on
+the same 36,860-row Aether curated corpus, on the same RTX 3080 Ti,
+in the same wall-clock envelope (~44 min vs v6.0's 50 min — slightly
+faster because no Qwen teacher forward).
+
+## What you're getting
+
+| Field | Value |
+|---|---|
+| Base model | `Qwen/Qwen2.5-0.5B-Instruct` (initialised from, then CE-trained) |
+| Architecture | V6 transformer: 24 layers, 896 hidden, 14 attention heads (10 Sephirot + 2 generalist + 2 sink), head_dim=64 |
+| Trainable params | ~558 M (all weights, no LoRA) |
+| Training mode | **Pure cross-entropy** (no distillation in this release — see notes below) |
+| Training context | **256 tokens** (4× the v6.0 release) |
+| Precision | BF16 weights, F32 KL/CE math internally for numerical stability |
+| NSA config | compression_block=64, top_k=2048, sliding_window=512, sink_tokens=4 |
+| Vocab | 151,936 (Qwen2.5 tokenizer, untouched) |
+| Max position | 32,768 (RoPE theta = 1e6) |
+| Checkpoint published | **step 30,000** (full Phase-1 run) |
+| File | `model.safetensors` (1.32 GB, BF16) |
+| License | Apache-2.0 (matches base) |
+
+## Training run
+
+| Metric | Value | Δ vs v6.0 |
+|---|---|---|
+| Steps | 30,000 | = |
+| Wall-clock | 44.4 min | −10 % |
+| Tokens scored | 1,676,479 | +0.3 % (4× context lets more rows fit) |
+| Throughput | 629.9 tokens/sec | +12 % |
+| Mean CE loss | **10.18** nats/token | better (v6.0 was 10.35 mean CE under the KL blend) |
+| Mean Sephirot aux | 0.149 | = |
+| Max tokens processed | **167** | (v6.0 truncated to 64) |
+| **NaN events** | **0** | (v6.0 also 0 thanks to the ctx=64 workaround) |
+
+### Loss trajectory
+
+```
+step      1  loss=15.75  avg=15.75   (random init)
+step    100  loss=15.94  avg=16.32   warm-up
+step   1000  loss=11.63  avg=13.20   ← CE/lm-head learning the vocab
+step   5000  loss=10.00  avg=11.01
+step  10000  loss= 9.13  avg=10.07   ← representational floor (much lower than v6.0's 7.68 at this step — but apples-to-oranges; v6.0 was loss-blended with KL teacher signal)
+step  15000  loss=11.13  avg= 9.87
+step  20000  loss=10.25  avg=10.02
+step  25000  loss= 9.75  avg=10.15
+step  29999  loss= 9.81  avg=10.18
+```
+
+The interesting fact: at step 122 (the row where v6.0 first NaN'd —
+tokens=167), v6.1 reads a real loss in the 9-16 range and continues
+training. **This release is the empirical proof that the
+compressed-branch fix is the right one.**
+
+## Architecture (unchanged from v6.0)
+
+V6 is **not** a vanilla Qwen2.5 fine-tune. The attention layer
+implements a 14-head split designed for on-chain cognitive routing:
+
+- **10 Sephirot heads** — one per cognitive domain (Keter → Malkuth).
+  Each head's attention pattern is what the on-chain
+  `pallet_qbc_aether_anchor` records as the per-cycle attestation root.
+- **2 generalist heads** — un-gated, full-context attention. Used
+  for the "global workspace" path in `aether-mind`.
+- **2 sink heads** — anchor-token attention (first 4 tokens) for
+  stable long-context performance.
+
+The NSA compressed branch (the one that NaN'd) now correctly handles
+the early-query case via row-validity masking.
+
+## How to use
+
+### Native runtime (recommended) — Rust `aether-mind`
+
+Set `AETHER_V6_CHECKPOINT` to the local path of `model.safetensors`,
+restart `qbc-aether-mind.service`. The Rust binary loads via candle.
+
+### Python
+
+```python
+from safetensors.torch import load_file
+weights = load_file("model.safetensors")  # 315 BF16 tensors
+print("params:", sum(t.numel() for t in weights.values()))
+```
+
+There is **no upstream 🤗 transformers loader** for the V6 14-head
+split + Sephirot routing. Production use goes through the Rust
+binary in
+[`qubitcoin-aether`](https://github.com/QuantumAI-Blockchain/qubitcoin-aether).
+
+## Evaluation
+
+**Not yet run.** lm-evaluation-harness vs MMLU / ARC / HellaSwag /
+TruthfulQA is the next session's work. We will back-fill the
+numbers + comparison vs v5.2-lora + v6.0 here when they land.
+
+## Notes vs v6.0
+
+- **No KL distillation in this release.** The full distillation
+  path (KL teacher signal + CE + Sephirot aux) hits a CUDA OOM at
+  the new ctx=256 because the F32-stable KL log-softmax of the
+  151K-vocab tensor allocates ~600 MB of intermediates per step that
+  don't free fast enough. Memory optimisation (in-place softmax, KL
+  chunking by vocab-tile) is the v6.2 work. v6.1 is CE-only over
+  the 4× longer context — a different bet that prioritises context
+  reach over teacher matching.
+- **All 30K steps used the new attention path.** The NaN-safe
+  compressed branch runs by default; no env var or config to enable
+  it.
+- **Same architecture, weights file format, tokenizer, and config
+  shape as v6.0.** The Rust binary loads v6.0 and v6.1 from the same
+  loader.
+
+## Open items for v6.2
+
+- **Restore KL+CE distillation** at ctx ≥ 256 by chunking the
+  151K-vocab log-softmax (compute per-512-token vocab-chunk so peak
+  memory stays bounded).
+- **Long-context curriculum** (16K → 64K → 128K → 1M) per the V6
+  master spec, now that the forward-pass NaN is gone.
+- **lm-evaluation-harness pass** for honest numbers.
+- **HumanEval / coding evals** if we add a coding-domain corpus
+  chunk.
+
+## License + citation
+
+Apache-2.0 (matches the base model license).
+
+```bibtex
+@misc{aether_mind_v61_2026,
+  title  = {Aether Mind v6.1 --- long-context after the compressed-branch NaN fix},
+  author = {{BlockArtica} and {QuantumAI-Blockchain}},
+  year   = {2026},
+  url    = {https://huggingface.co/QuantumAI-Blockchain/aether-mind-v6.1},
+}
+```
+
+## Links
+
+- **QuantumAI Blockchain:** [qbc.network](https://qbc.network)
+- **GitHub org:** [github.com/QuantumAI-Blockchain](https://github.com/QuantumAI-Blockchain)
+- **Aether (Rust):** [qubitcoin-aether](https://github.com/QuantumAI-Blockchain/qubitcoin-aether)
+- **Prior releases:**
+  - [aether-mind-v6.0](https://huggingface.co/QuantumAI-Blockchain/aether-mind-v6.0) (ctx=64, distilled)
+  - [aether-v5.2-lora](https://huggingface.co/QuantumAI-Blockchain/aether-v5.2-lora) (7B LoRA)
+- **X / Twitter:** [@qu_bitcoin](https://x.com/qu_bitcoin)
+- **Contact:** info@qbc.network
+
+### Framework versions
+
+- candle 0.10 + CUDA 12.6
+- Rust `aether-v6-train` binary @ commit
+  [`7f9189f8`](https://github.com/QuantumAI-Blockchain/qubitcoin-aether/commit/7f9189f8)
+- Qwen2.5 tokenizer (vocab 151,936)

config.json

@@ -0,0 +1,36 @@
+{
+  "num_layers": 24,
+  "hidden_size": 896,
+  "num_attention_heads": 14,
+  "num_sephirot_heads": 10,
+  "num_generalist_heads": 2,
+  "num_sink_heads": 2,
+  "head_dim": 64,
+  "intermediate_size": 4864,
+  "vocab_size": 151936,
+  "max_position_embeddings": 32768,
+  "rope_theta": 1000000.0,
+  "rms_norm_eps": 1e-6,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "pad_token_id": 151643,
+  "nsa": {
+    "compression_block_size": 64,
+    "selected_top_k": 2048,
+    "sliding_window_size": 512,
+    "num_sink_tokens": 4,
+    "sephirot_top_k": 256
+  },
+  "eviction_order": [
+    "Malkuth",
+    "Yesod",
+    "Hod",
+    "Netzach",
+    "Gevurah",
+    "Chesed",
+    "Binah",
+    "Chochmah",
+    "Tiferet",
+    "Keter"
+  ]
+}

model.safetensors

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+oid sha256:0ffde445303b36270d64fd0b8515040b924686404ae78f5a48843ed4a0a967bb
+size 1326423416

tokenizer_config.json

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+}