3-way SLERP merge: CreativeWriting + DASD-Thinking + Claude-Uncensored

.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

README.md

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+---
+base_model:
+- bowen-upenn/Qwen3-4B-CreativeWriting-SFT
+- Alibaba-Apsara/DASD-4B-Thinking
+- WithinUsAI/Qwen3-Space.Agent.Claude.Uncensored-4B
+license: apache-2.0
+tags:
+- merge
+- slerp
+- qwen3
+- qwen3-4b
+- creative-writing
+- reasoning
+- long-cot
+- uncensored
+- agentic
+- slerp-merge
+---
+
+# Qwen3-Space.Agent_DASD-Uncensored-4B
+
+**A SLERP-merged Qwen3-4B combining creative writing, deep reasoning, and uncensored agentic capabilities.**
+
+## Model Composition
+
+Sequential **Spherical Linear Interpolation (SLERP)**:
+
+1. **bowen-upenn/Qwen3-4B-CreativeWriting-SFT** + **Alibaba-Apsara/DASD-4B-Thinking** @ t=0.5
+2. Result + **WithinUsAI/Qwen3-Space.Agent.Claude.Uncensored-4B** @ t=0.5
+
+### Parent Models
+- **Creative Writing SFT**: Storytelling, narrative, character development, stylistic prose.
+- **DASD-4B-Thinking**: Long chain-of-thought reasoning, complex problem solving.
+- **Claude-Uncensored Agent**: Agentic behavior, tool use, reduced refusals, Claude-like personality.
+
+## Key Strengths
+- Balanced creativity + deep reasoning
+- Strong agentic / tool-use capabilities
+- Reduced censorship compared to typical aligned models
+- Good at long-context creative + reasoning tasks
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_id = "GODsStrongestSoldier/Qwen3-Space.Agent_DASD-Uncensored-4B"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16, device_map="auto")
+
+messages = [{"role": "user", "content": "Write a thoughtful sci-fi story with internal monologue."}]
+inputs = tokenizer.apply_chat_template(messages, return_tensors="pt").to(model.device)
+output = model.generate(inputs, max_new_tokens=1200, temperature=0.75, do_sample=True)
+print(tokenizer.decode(output[0], skip_special_tokens=True))
+```
+
+## Recommended Settings
+- Temperature: 0.7-0.9 for creative tasks
+- Use system prompts for agent behavior
+- Encourage step-by-step thinking for complex problems
+
+## Technical Specs
+- Base: Qwen3-4B (36 layers, GQA, 32k context)
+- Merge: Sequential SLERP (no additional training)
+- Size: ~4B parameters
+- Precision: FP16 (safetensors)
+
+## Acknowledgments
+- bowen-upenn, Alibaba-Apsara, WithinUsAI, and the Qwen team.
+
+*Merged on Kaggle via sequential SLERP — May 2026*

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 %}
+{%- 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" %}
+        {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- 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' }}
+{%- endif %}

config.json

@@ -0,0 +1,71 @@
+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2560,
+  "initializer_range": 0.02,
+  "intermediate_size": 9728,
+  "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",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 262144,
+  "max_window_layers": 36,
+  "model_type": "qwen3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 8,
+  "pad_token_id": null,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 5000000,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.0.0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2a01d84cca61c457d2c5070727f068eedd1784671d3640f2e74d24dbc7e0241c
+size 8044982048

tokenizer.json

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

tokenizer_config.json

@@ -0,0 +1,30 @@
+{
+  "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": true,
+  "model_max_length": 1010000,
+  "model_specific_special_tokens": {},
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}