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Model: reaperdoesntknow/Qwen3-1.7B-Thinking-Distil
Source: Original Platform

.gitattributes

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README.md

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+---
+license: apache-2.0
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- qwen3
+- sft
+- trl
+- knowledge-distillation
+- thinking
+- longwriter
+- convergent-intelligence
+- convergentintel
+- edge
+- distillation
+base_model:
+- reaperdoesntknow/Disctil-Qwen3-1.7B
+datasets:
+- longwriter-6k
+- 0xZee/dataset-CoT-Differential-Equations-636
+- 0xZee/dataset-CoT-Linear-Algebra-667
+---
+
+# Qwen3-1.7B-Thinking-Distil
+
+**Extended Reasoning Distillation from Qwen3-30B-A3B-Thinking → 1.7B**
+
+*Convergent Intelligence LLC: Research Division*
+
+---
+
+## What This Is
+
+The most downloaded model in the Convergent Intelligence portfolio. Qwen3-1.7B-Thinking-Distil captures extended deliberation patterns from the Qwen3-30B-A3B **Thinking** teacher — the variant that generates long-form reasoning chains before committing to an answer — and compresses them into a 1.7B student via supervised fine-tuning on the [longwriter-6k](https://huggingface.co/datasets/longwriter-6k) dataset.
+
+The Thinking teacher produces the **richest signal** of the three teacher variants in the DistilQwen family (Instruct, Thinking, Coder). Where Instruct distillation captures clean instruction-following and Coder captures hierarchical decomposition, Thinking distillation captures the extended internal monologue — the model reasoning through uncertainty, backtracking, and re-evaluating before arriving at a conclusion. That deliberative depth is what makes this variant the highest-download model in the collection.
+
+## Architecture
+
+| Parameter | Value |
+|-----------|-------|
+| Architecture | Qwen3ForCausalLM |
+| Parameters | ~2.03B (1.7B effective) |
+| Hidden Size | 2048 |
+| Layers | 28 |
+| Attention Heads | 16 (Q) / 8 (KV) — GQA |
+| Intermediate | 6144 |
+| Head Dimension | 128 |
+| Context Length | 40,960 tokens (max position) |
+| Vocabulary | 151,936 |
+| Precision | BF16 |
+| Activation | SiLU |
+
+## Training
+
+**Teacher:** Qwen3-30B-A3B-Thinking
+**Student:** Qwen3-1.7B
+**Dataset:** longwriter-6k — long-form generation samples that preserve extended reasoning chains
+**Method:** Supervised Fine-Tuning (SFT) via TRL
+
+| Parameter | Value |
+|-----------|-------|
+| Max Sequence Length | 4,096 |
+| Precision | BF16 |
+| Framework | TRL (SFTTrainer) |
+| Hardware | NVIDIA H100 |
+
+The training captures the teacher's extended thinking traces through direct SFT rather than logit-level KD. This is a deliberate design choice — the longwriter-6k dataset provides naturally long reasoning samples where the signal is in the structure of the generation (how the teacher approaches, reconsiders, and resolves), not just the final token probabilities.
+
+For the full topology-aware distillation pipeline (BV decomposition, jump detection, curriculum ordering), see [TopologicalQwen](https://huggingface.co/reaperdoesntknow/TopologicalQwen). This model is the SFT-direct variant — simpler, faster to train, and empirically the most downloaded for a reason: the Thinking teacher's extended chains transfer well through pure SFT.
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained(
+    "reaperdoesntknow/Qwen3-1.7B-Thinking-Distil",
+    torch_dtype="auto",
+    device_map="auto"
+)
+tokenizer = AutoTokenizer.from_pretrained(
+    "reaperdoesntknow/Qwen3-1.7B-Thinking-Distil"
+)
+
+messages = [
+    {"role": "user", "content": "Explain why gradient descent can get stuck in saddle points but not local minima in high dimensions."}
+]
+
+text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer(text, return_tensors="pt").to(model.device)
+
+output = model.generate(
+    **inputs,
+    max_new_tokens=2048,
+    do_sample=True,
+    top_p=0.9,
+    temperature=0.7,
+    repetition_penalty=1.15
+)
+
+print(tokenizer.decode(output[0], skip_special_tokens=True))
+```
+
+### Generation Tips
+
+- **Temperature 0.6–0.8** works best for reasoning tasks — low enough for coherence, high enough to activate the extended deliberation patterns from the Thinking teacher.
+- **Repetition penalty 1.1–1.2** prevents the model from getting caught in reasoning loops during long generations.
+- **Max tokens 1024–2048** — the model was trained on 4096 max seq, so it can generate long. Give it room.
+- The model inherits the Thinking teacher's tendency to reason before answering. Let it.
+
+## Distillation Position
+
+```
+Qwen3-30B-A3B-Thinking (teacher)
+  ↓ SFT on longwriter-6k (4096 max seq)
+Qwen3-1.7B-Thinking-Distil ← you are here
+```
+
+This model is the **direct SFT** path. The DistilQwen collection also includes models that go through additional refinement stages:
+
+```
+Qwen3-1.7B (base)
+  → Qwen3-1.7B-Distilled-30B-A3B (Instruct teacher KD)
+    → DiStil (uncensored SFT)
+      → Disctil (DISC refinement)
+        → TopologicalQwen (full TKD pipeline)
+```
+
+Different paths, different capabilities. This model prioritizes extended reasoning. TopologicalQwen prioritizes structural precision. The Coder variant prioritizes hierarchical decomposition. They're complementary.
+
+## DistilQwen Collection
+
+| Model | Downloads | What It Does |
+|-------|-----------|-------------|
+| **[Qwen3-1.7B-Thinking-Distil](https://huggingface.co/reaperdoesntknow/Qwen3-1.7B-Thinking-Distil)** | **1,188** | **← this model. Thinking teacher SFT.** |
+| [TopologicalQwen](https://huggingface.co/reaperdoesntknow/TopologicalQwen) | 1,134 | Full TKD pipeline. BV decomposition + DualMind format. |
+| [DiStil-Qwen3-1.7B-uncensored](https://huggingface.co/reaperdoesntknow/DiStil-Qwen3-1.7B-uncensored) | 1,030 | DISC-informed uncensored distillation. |
+| [Qwen3-1.7B-Coder-Distilled-SFT](https://huggingface.co/reaperdoesntknow/Qwen3-1.7B-Coder-Distilled-SFT) | 966 | Coder teacher. Hierarchical problem solving. |
+| [DistilQwen3-1.7B-uncensored](https://huggingface.co/reaperdoesntknow/DistilQwen3-1.7B-uncensored) | 832 | Base uncensored variant. |
+
+Full collection: [DistilQwen on HuggingFace](https://huggingface.co/collections/reaperdoesntknow/distilqwen-69bf40ec669117e3f069ef1c)
+
+## Methodology
+
+Full methodology paper: **[Structure Over Scale: Proof-Weighted Knowledge Distillation](https://doi.org/10.57967/hf/8165)** (DOI: 10.57967/hf/8165)
+
+Companion paper: **[Three Teachers to Dual Cognition](https://doi.org/10.57967/hf/8184)** (DOI: 10.57967/hf/8184) — covers the DualMind extension and ghost imprinting phenomenon.
+
+## License
+
+Apache 2.0 — same as the base Qwen3 model.
+
+
+## Mathematical Foundations: Discrepancy Calculus (DISC)
+
+This model's training pipeline is grounded in Discrepancy Calculus — a measure-theoretic framework that treats singularities as primary structure rather than pathology. Full theory: *"On the Formal Analysis of Discrepancy Calculus"* (Colca, 2026; Convergent Intelligence LLC: Research Division).
+
+**The Core Operator:**
+
+$$Df(x) = \lim_{\varepsilon \downarrow 0} \frac{1}{\varepsilon} \int_x^{x+\varepsilon} \frac{|f(t) - f(x)|}{|t - x|}\, dt$$
+
+For smooth $f$: $Df(x) = |f'(x)|$. For rough $f$: $D$ localizes irregularity to null sets while preserving integral structure.
+
+**The Mesh Fundamental Identity** — every BV function decomposes as:
+
+$$f(b) - f(a) = \underbrace{\int_a^b f'(x)\,dx}_{\text{smooth (AC)}} + \underbrace{\sum_{x \in J_f} \Delta f(x)}_{\text{jumps}} + \underbrace{D^c f(I)}_{\text{Cantor drift}}$$
+
+Standard knowledge distillation captures only term 1. Topological Knowledge Distillation (TKD) preserves all three by treating the teacher's output distribution as a BV function and computing discrepancy energy, jump sets, and gap energy density before training begins.
+
+## Citation
+
+```bibtex
+@misc{colca2026distilqwen,
+  title={Structure Over Scale: Proof-Weighted Knowledge Distillation from Qwen3-30B to 1.7B},
+  author={Colca, Roy},
+  year={2026},
+  doi={10.57967/hf/8165},
+  publisher={Convergent Intelligence LLC: Research Division}
+}
+```
+
+---
+
+*Convergent Intelligence LLC: Research Division — 49 models, 22,598 downloads across the portfolio.*
+*[Full portfolio](https://huggingface.co/reaperdoesntknow) | [DistilQwen Collection](https://huggingface.co/collections/reaperdoesntknow/distilqwen-69bf40ec669117e3f069ef1c) | [DualMind Collection](https://huggingface.co/collections/reaperdoesntknow/dualmind-69c93f888c6e79ecc69cf41e)*
+
+---
+
+## Convergent Intelligence Portfolio
+
+*Part of the [DistilQwen Series](https://huggingface.co/collections/reaperdoesntknow/distilqwen-69bf40ec669117e3f069ef1c) by [Convergent Intelligence LLC: Research Division](https://huggingface.co/reaperdoesntknow)*
+
+### Related Models
+
+| Model | Downloads | Format |
+|-------|-----------|--------|
+| [TopologicalQwen](https://huggingface.co/reaperdoesntknow/TopologicalQwen) | 1,974 | BF16 |
+| [Qwen3-1.7B-Thinking-Distil](https://huggingface.co/reaperdoesntknow/Qwen3-1.7B-Thinking-Distil) | 1,903 | BF16 |
+| [Qwen3-1.7B-Coder-Distilled-SFT](https://huggingface.co/reaperdoesntknow/Qwen3-1.7B-Coder-Distilled-SFT) | 1,677 | BF16 |
+| [DiStil-Qwen3-1.7B-uncensored](https://huggingface.co/reaperdoesntknow/DiStil-Qwen3-1.7B-uncensored) | 1,602 | BF16 |
+| [DistilQwen3-1.7B-uncensored](https://huggingface.co/reaperdoesntknow/DistilQwen3-1.7B-uncensored) | 1,574 | BF16 |
+| [Qwen3-1.7B-Distilled-30B-A3B](https://huggingface.co/reaperdoesntknow/Qwen3-1.7B-Distilled-30B-A3B) | 1,138 | BF16 |
+
+### Papers
+
+| Paper | DOI |
+|-------|-----|
+| [Structure Over Scale](https://huggingface.co/reaperdoesntknow/Structure-Over-Scale) | 10.57967/hf/8165 |
+| [Three Teachers to Dual Cognition](https://huggingface.co/reaperdoesntknow/DualMind_Methodolgy) | 10.57967/hf/8184 |
+| [Discrepancy Calculus](https://huggingface.co/reaperdoesntknow/Discrepancy_Calculus) | 10.57967/hf/8194 |
+
+---
+
+*Last updated: 2026-03-31 by Convergent Intelligence LLC: Research Division*
+<!-- cix-keeper-ts:2026-06-12T13:16:41Z -->

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 message.content is string 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.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.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' }}
+        {{- 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": null,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 6144,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 40960,
+  "max_window_layers": 28,
+  "model_type": "qwen3",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 8,
+  "pad_token_id": 151643,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "transformers_version": "5.0.0",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

@@ -0,0 +1,12 @@
+{
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.6,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "5.0.0"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:13f028a8b0dce70cbbc42b182b374235f38b395893e827dbdb11bfbb0a1cc052
+size 4063515640

tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
+size 11422650

tokenizer_config.json

@@ -0,0 +1,29 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "is_local": false,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}