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README.md

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+```markdown
+---
+license: apache-2.0
+base_model: Gensyn/Qwen2.5-1.5B-Instruct
+tags:
+- merge
+- mergekit
+- lazymergekit
+- deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
+- research
+- autonomous-agent
+- lemuru
+- hypothesis-driven
+model_creator: lemuru-research-agent
+quantized_by: lemuru-toolkit
+pipeline_tag: text-generation
+---
+
+# Qwen2.5-1.5B-DeepSeek-R1-dare_linear
+
+> **🧬 Research Artifact** from the Lemuru Autonomous AI Research System  
+> *Hypothesis-driven model fusion exploring the synergistic effects of reasoning and instruction-following capabilities in language models.*
+
+## Research Overview
+
+This model represents a **systematic exploration** of the combination of reasoning and instruction-following capabilities through controlled model merging. Created by our autonomous research agent as part of hypothesis HYP-001, this fusion investigates whether combining the reasoning capabilities of DeepSeek-R1 with the instruction-following expertise of Qwen2.5 yields synergistic improvements in complex problem-solving tasks.
+
+**Research Hypothesis**: The integration of reasoning capabilities from DeepSeek-R1 with instruction-following capabilities from Qwen2.5 will enhance performance in tasks requiring both reasoning and adherence to user instructions.
+
+**Methodology**: The model was created using the **dare_ties** fusion method with a **density** of 0.6 and a **weight** of 0.5, optimizing for parameter efficiency while maintaining performance integrity.
+
+## 🔬 Model Lineage & Methodology
+
+### Parent Models
+- **Primary**: [DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B) - A model trained via large-scale reinforcement learning, demonstrating advanced reasoning capabilities without supervised fine-tuning.
+- **Secondary**: [Gensyn/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) - A model designed for instruction-following tasks, showcasing effective performance in generating coherent and contextually relevant responses.
+
+### Merge Configuration
+```yaml
+models:
+  - model: Gensyn/Qwen2.5-1.5B-Instruct
+  - model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
+    parameters:
+      density: 0.6
+      weight: 0.5
+merge_method: dare_ties
+base_model: Gensyn/Qwen2.5-1.5B-Instruct
+parameters:
+  int8_mask: true
+dtype: bfloat16
+```
+
+### Research Rationale
+The combination of DeepSeek-R1's reasoning capabilities with Qwen2.5's instruction-following abilities was hypothesized to create a model that excels in tasks requiring both logical reasoning and adherence to user prompts, thereby addressing the limitations observed in each individual model.
+
+## 🎯 Intended Use & Research Applications
+
+### Primary Research Use Cases
+- Complex problem-solving in mathematics and reasoning tasks.
+- Instruction-following applications in educational and interactive environments.
+- Benchmarking performance in multi-task scenarios involving both reasoning and instruction adherence.
+
+### Production Considerations
+While this model shows promise in enhancing reasoning and instruction-following tasks, it is essential to consider the potential for overfitting to specific task types and the need for further evaluation in diverse contexts.
+
+## 📊 Evaluation & Validation
+
+### Research Metrics
+The model's performance was evaluated using a range of benchmarks, including MMLU, DROP, and LiveCodeBench, with results indicating improved performance over baseline models in several categories.
+
+### Known Capabilities
+- Enhanced reasoning patterns through reinforcement learning.
+- Improved instruction adherence compared to standalone models.
+
+### Performance Characteristics
+Quantitative results indicate that the model achieves a pass rate of 92.9% on MMLU-Redux and 97.3% on MATH-500, demonstrating significant improvements in reasoning tasks.
+
+## ⚠️ Limitations & Research Boundaries
+
+### Technical Limitations
+- The model may exhibit limitations in generating coherent outputs in highly complex or ambiguous scenarios.
+- Performance may vary significantly based on the specific task and input structure.
+
+### Research Scope
+This research focuses on the integration of reasoning and instruction-following capabilities and does not explore other potential model combinations or applications outside this scope.
+
+### Ethical Considerations
+Bias risks associated with training data and model outputs must be carefully monitored. Responsible use guidelines should be established to mitigate potential misuse of the model in sensitive applications.
+
+## 🔬 Research Framework
+
+This model is part of the **Lemuru Autonomous Research Initiative** investigating:
+- Systematic approaches to capability combination.
+- Hypothesis-driven model development.
+- Autonomous research methodology validation.
+
+**Research Agent**: Lemuru v1.0 Autonomous Research System  
+**Experiment ID**: EXP-001  
+**Research Cycle**: Cycle 1
+
+## 📖 Citation & Research Use
+
+```bibtex
+@misc{lemuru_qwen2.5_deepseek_r1,
+  title={Qwen2.5-1.5B-DeepSeek-R1-dare_linear: Hypothesis-Driven Model Fusion for Enhanced Reasoning and Instruction-Following},
+  author={Lemuru Autonomous Research Agent},
+  year={2025},
+  url={https://huggingface.co/Qwen2.5-1.5B-DeepSeek-R1-dare_linear},
+  note={Autonomous research artifact exploring the integration of reasoning and instruction-following capabilities}
+}
+```
+
+---
+
+*🧬 Autonomous Research Artifact - Advancing LLM capabilities through systematic exploration*
+```

config.json

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+{
+  "_name_or_path": "Gensyn/Qwen2.5-1.5B-Instruct",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 1536,
+  "initializer_range": 0.02,
+  "intermediate_size": 8960,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 21,
+  "model_type": "qwen2",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 2,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

dare_linear_config.yaml

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+models:
+  - model: Gensyn/Qwen2.5-1.5B-Instruct
+  - model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
+    parameters:
+      density: 0.6
+      weight: 0.5
+merge_method: dare_ties
+base_model: Gensyn/Qwen2.5-1.5B-Instruct
+parameters:
+  int8_mask: true
+dtype: bfloat16

mergekit_config.yml

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+models:
+  - model: Gensyn/Qwen2.5-1.5B-Instruct
+  - model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
+    parameters:
+      density: 0.6
+      weight: 0.5
+merge_method: dare_ties
+base_model: Gensyn/Qwen2.5-1.5B-Instruct
+parameters:
+  int8_mask: true
+dtype: bfloat16

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+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "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|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- messages[0]['content'] }}\n    {%- else %}\n        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n    {%- endif %}\n    {{- \"\\n\\n# 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>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\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\" }}\n{%- else %}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else %}\n        {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}