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README.md

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+---
+library_name: residuals
+base_model: Qwen/Qwen3-0.6B-Base
+base_model_relation: adapter
+instruct_model: Qwen/Qwen3-0.6B
+pipeline_tag: text-generation
+tags:
+- residuals
+- delta
+- task-arithmetic
+- finetune
+---
+
+
+# Instruction Residuals
+
+This repository contains instruction residuals (delta weights) computed as the parameter-wise difference between `Qwen/Qwen3-0.6B` and `Qwen/Qwen3-0.6B-Base`.
+
+Apply these residuals to the base model to reconstruct the instruction-tuned weights without retraining.
+
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from residuals import Residuals
+
+base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-0.6B-Base")
+tok = AutoTokenizer.from_pretrained("Qwen/Qwen3-0.6B-Base")
+
+res = Residuals.from_pretrained("residuals/qwen3-0.6b")
+res.apply(base, base_tokenizer=tok)
+```
+
+
+## Provenance
+- **Created at**: 2025-10-25T17:25:05.852456+00:00
+- **DType**: float32
+- **Parameters**: 311
+- **Shapes hash**: a24a72d28c65d986a1537975e25867880c7ba603637058fceda763bcb730b2b8
+- **Names hash**: 17f783d5d8f115eb5cf5c88fd284d191b841870eeffb9c845f51180afc4370ac
+- **Base model**: `Qwen/Qwen3-0.6B-Base`
+- **Instruction model**: `Qwen/Qwen3-0.6B`
+
+## Files
+- **model.safetensors**: Serialized residual tensors (safetensors format).
+- (optional) **model.safetensors.index.json** + shard files `model-00001-of-000N.safetensors`, ... for multi-part weights.
+- **config.json**: Residuals metadata and provenance.
+- **tokenizer files**: Saved tokenizer for compatibility.
+
+## About this format
+These are additive residuals (task vectors). Applying them to the base model's parameters reconstructs the instruction-tuned model.
+
+## Tools
+Generated with the `residuals` Python package. Install via: `pip install residuals`.
+- PyPI: https://pypi.org/project/residuals/
+- Source: https://github.com/omarish/residuals

added_tokens.json

@@ -0,0 +1,28 @@
+{
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+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

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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+{
+  "residuals_version": "1.0",
+  "format": "pytorch",
+  "dtype": "float32",
+  "param_count": 311,
+  "shapes_hash": "a24a72d28c65d986a1537975e25867880c7ba603637058fceda763bcb730b2b8",
+  "parameter_names_hash": "17f783d5d8f115eb5cf5c88fd284d191b841870eeffb9c845f51180afc4370ac",
+  "tokenizer_name": "Qwen/Qwen3-0.6B",
+  "created_at": "2025-10-25T17:25:05.852456+00:00",
+  "library": {
+    "package": "residuals"
+  },
+  "base_model_name": "Qwen/Qwen3-0.6B-Base",
+  "instruct_model_name": "Qwen/Qwen3-0.6B",
+  "pipeline_tag": "text-generation",
+  "license": null,
+  "language": null,
+  "tags": [
+    "residuals",
+    "delta",
+    "task-arithmetic",
+    "finetune"
+  ],
+  "base_model_relation": "adapter"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7cf7aa2cc4c9c60825f9d8885a0f159b35ef92327b87b411f36337523b559aca
+size 3006565024

special_tokens_map.json

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+{
+  "additional_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|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
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+    "151645": {
+      "content": "<|im_end|>",
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+      "normalized": false,
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+      "single_word": false,
+      "special": true
+    },
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+      "special": true
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+      "rstrip": false,
+      "single_word": false,
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+      "rstrip": false,
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+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
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+      "lstrip": false,
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+      "special": false
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
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+      "lstrip": false,
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+      "lstrip": false,
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+    }
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+    "<|im_start|>",
+    "<|im_end|>",
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+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}