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Model: HelpingAI/Dhanishtha
Source: Original Platform

.gitattributes

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AI4free_Dhanishtha-F16.gguf

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README.md

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+---
+library_name: transformers
+license: apache-2.0
+datasets:
+- Abhaykoul/Dhanishtha-R1
+- open-thoughts/OpenThoughts-114k
+language:
+- en
+base_model:
+- deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
+---
+# Dhanishtha Overview
+
+Dhanishtha is a cutting-edge reasoning AI model developed by **HelpingAI**, designed for deep introspection and structured logical analysis. Unlike traditional models that generate immediate responses, Dhanishtha employs a unique **deep-thinking process** process—an internal deliberation phase that enhances reasoning depth before presenting refined answers.
+
+## Model Capabilities
+Dhanishtha operates in **Dhanishtha Mode**, inspired by the **Dhanishtha Nakshatra**, known for wisdom, rhythm, and intellectual depth. The model engages in a multi-step thought process before providing responses, ensuring high accuracy and coherence.
+
+### Key Features:
+- **Structured Internal Reasoning:** Engages in self-dialogue within `<think></think>` tags, iterating through ideas and refining its thought process before responding.
+- **Progressive Thought Refinement:** Evaluates multiple perspectives, making logical connections and ensuring a well-rounded answer.
+- **Emotionally Intelligent Conversational Style:** Responses are expressive, engaging, and tailored for natural human interaction.
+- **Optimized for Critical Thinking & Problem-Solving:** Excels in analytical reasoning, debate, and deep philosophical discussions.
+- **Context Awareness:** Maintains logical coherence in extended interactions, avoiding contradictions and ensuring smooth thought progression.
+
+## Training & Architecture
+- **Model Size:** Optimized for high-performance reasoning with balanced efficiency.
+- **Training Approach:** Fine-tuned using advanced structured learning techniques to enhance deliberative thinking and introspective processing.
+- **Data Sources:** Trained on a diverse dataset covering philosophy, critical reasoning, and problem-solving scenarios to develop a deep intellectual foundation.
+
+## Performance & Benchmarks
+Dhanishtha outperforms conventional models in structured reasoning and contextual depth. The model has been rigorously evaluated across various metrics, demonstrating significant improvements in:
+- **Logical Coherence & Argumentation:** Enhanced ability to follow complex discussions and construct persuasive arguments.
+- **Depth of Analysis:** Excels in breaking down intricate topics into clear, structured responses.
+- **Adaptive Conversational Flow:** Seamlessly shifts between casual and analytical tones based on user input.
+
+## Deployment & Use Cases
+Dhanishtha is designed for:
+- **High-precision academic and philosophical discussions**
+- **Deep problem-solving and strategic reasoning**
+- **Engaging and thought-provoking conversations**
+- **Use in AI-driven research and advanced dialogue systems**
+
+## Benchmarks
+We report Pass@1 accuracy averaged over 16 samples for each problem.
+
+| Model                         | AIME 2024 | MATH 500 | AMC 2023 | Minerva Math | OlympiadBench | Avg. |
+|-------------------------------|-----------|----------|----------|--------------|----------------|------|
+| 2.5-7B-Instruct               | 13.3      | 79.8     | 50.6     | 34.6         | 40.7           | 43.8 |
+| rStar-Math-7B                 | 26.7      | 78.4     | 47.5     | -            | 47.1           | -    |
+| Eurus-2.7B-PRIME              | 26.7      | 79.2     | 57.8     | 38.6         | 42.1           | 48.9 |
+| Qwen2.5-7B-SimpleRL           | 26.7      | 82.4     | 62.5     | 39.7         | 43.3           | 50.9 |
+| DeepSeek-R1-Distill-Qwen-1.5B | 28.8      | 82.8     | 62.9     | 26.5         | 43.3           | 48.9 |
+| Still-1.5B                    | 32.5      | 84.4     | 66.7     | 29.0         | 45.4           | 51.6 |
+| DeepScaleR-1.5B-Preview       | 43.1      | 87.8     | 73.6     | 30.2         | 50.0           | 57.0 |
+| O1-Preview                    | 40.0      | 81.4     | -        | -            | -              | -    |
+| **Dhanishta**                    | 38.2      | 85.1     | 70.3     | 30.5         | 42.0           | 53.2 |
+
+
+## Credits & License
+Dhanishtha is developed and maintained by **HelpingAI**, pushing the boundaries of AI-driven introspection and structured reasoning. The model is open-source and community-driven, encouraging contributions and collaborative innovation.

config.json

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+{
+  "_name_or_path": "AI4free/test23",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151646,
+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 1536,
+  "initializer_range": 0.02,
+  "intermediate_size": 8960,
+  "max_position_embeddings": 131072,
+  "max_window_layers": 21,
+  "model_type": "qwen2",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 2,
+  "pad_token_id": 151643,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.48.3",
+  "use_cache": true,
+  "use_mrope": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 151646,
+  "eos_token_id": 151643,
+  "pad_token_id": 151643,
+  "transformers_version": "4.48.3"
+}

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special_tokens_map.json

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+{
+  "bos_token": {
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+  "eos_token": {
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+  "pad_token": {
+    "content": "<｜end▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

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tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<｜end▁of▁sentence｜>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "151644": {
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+      "lstrip": false,
+      "normalized": false,
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+      "special": false
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
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+    "151658": {
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
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+    "151661": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "bos_token": "<｜begin▁of▁sentence｜>",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜>'}}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<｜end▁of▁sentence｜>",
+  "extra_special_tokens": {},
+  "legacy": true,
+  "model_max_length": 16384,
+  "pad_token": "<｜end▁of▁sentence｜>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": null,
+  "use_default_system_prompt": false
+}