Deem 0.6B v1.0: dense-Qwen3 lane, rust-runtime parity 0.080, best exact-laws brier on Tare

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

LICENSE

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README.md

@@ -0,0 +1,77 @@
+---
+library_name: deem
+license: apache-2.0
+base_model: Qwen/Qwen3-0.6B-Base
+tags:
+- decision-model
+- cpu-inference
+- rust
+- edge
+- routing
+metrics:
+- policy_holdout
+- macro_accuracy
+---
+
+# Deem 0.6B (v1)
+
+**Decisions, anywhere — smaller.** The Deem decision stack on
+**CPU** at 0.6B parameters: typed, calibrated choices, scores, and
+yes/no decisions with abstention, served by our own Rust runtime.
+No GPU required.
+
+## Why 0.6B?
+
+Qwen3-0.6B-Base has dense attention where its Qwen3.5 successor
+hybridizes with linear attention. Through the Deem letter-slot
+fine-tune that matters: **0.6B beats 0.8B** on the standard suite
+(0.7533 vs 0.7455 macro) and on JevBench hard (40.5 vs 33.3) —
+with 25% fewer parameters.
+
+## Benchmarks
+
+- **94.5%** long-policy hold-out accuracy
+- Standard-suite macro **0.7533** (0.7622 calibrated)
+- JevBench public **97.9 / 73.6 / 40.5** (easy / original / hard)
+- Near-ceiling exact-law reasoning: counting 0.988, grid 0.992,
+  zero-count 1.000 — best exact-laws Brier on the
+  [Tare board](https://github.com/Libertai/deem) (0.0289)
+- Temporal probes match the 9B: sharp 30/31-day window cutoff,
+  consistency sums 1.000
+- **65ms** short-form decisions, **1.9s** ~3k-token states
+  (int8 path, busy desktop CPU)
+- **~0.7GB** resident (int8 path)
+
+## The runtime
+
+A single static Rust binary. No Python, no C++ dependencies at
+runtime.
+
+- Hand-written **AVX-512 kernels** — bf16 (`vdpbf16ps`) and int8
+  (`vpdpbusd`) GEMM lanes
+- **Parity-gated against torch:** max letter-logit diff 0.080
+  bf16 / 0.125 int8 (gate 0.35)
+- **Wire-compatible `/v1/systemone`** — drop-in for the TypeSafe SDK
+
+```bash
+git clone https://github.com/Libertai/deem && cd deem/rust
+cargo build --release
+DEEM_CHECKPOINT=LibertAIDAI/deem-0.6-v1 ./target/release/deem-server
+```
+
+Runs where GPUs don't: CI runners, edge boxes, laptops, serverless
+micro-VMs.
+
+## How it's built
+
+Qwen3-0.6B-Base (Apache-2.0, license tag + LICENSE file verified
+on HF 2026-09-27), full fine-tune on the Deem
+ground-truth-verified mixture (124,765 rows: anchors + exact laws
++ policy + working-time + verification traces), then the
+temporal-window delta (6k windowgen + 15k replay, lr 1e-5).
+Apache-2.0 recipe.
+
+## License
+
+Apache-2.0. All benchmarks reproducible from the
+[release artifacts](https://github.com/Libertai/deem).

chat_template.jinja

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+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set content = message.content %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in message.content %}
+                {%- set content = message.content.split('</think>')[-1].lstrip('\n') %}
+                {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

config.json

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+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "dtype": "bfloat16",
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+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
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+  "num_key_value_heads": 8,
+  "pad_token_id": null,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.17.0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

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+  "do_sample": false,
+  "eos_token_id": 151643,
+  "max_new_tokens": 2048,
+  "transformers_version": "5.17.0"
+}

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+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "extra_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
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+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "is_local": true,
+  "local_files_only": false,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

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