From 0d6ef7d8cb55aacbd8f5e56619945662c14641ab Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Sat, 11 Apr 2026 22:37:54 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: prithivMLmods/Belenos-8574-14B-GOP Source: Original Platform --- .gitattributes | 49 ++++++++++++ README.md | 123 +++++++++++++++++++++++++++++++ config.json | 28 +++++++ configuration.json | 1 + generation_config.json | 9 +++ model-00001-of-00006.safetensors | 3 + model-00002-of-00006.safetensors | 3 + model-00003-of-00006.safetensors | 3 + model-00004-of-00006.safetensors | 3 + model-00005-of-00006.safetensors | 3 + model-00006-of-00006.safetensors | 3 + model.safetensors.index.json | 1 + tokenizer.json | 3 + tokenizer_config.json | 35 +++++++++ 14 files changed, 267 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 config.json create mode 100644 configuration.json create mode 100644 generation_config.json create mode 100644 model-00001-of-00006.safetensors create mode 100644 model-00002-of-00006.safetensors create mode 100644 model-00003-of-00006.safetensors create mode 100644 model-00004-of-00006.safetensors create mode 100644 model-00005-of-00006.safetensors create mode 100644 model-00006-of-00006.safetensors create mode 100644 model.safetensors.index.json create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..21b3632 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,49 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bin.* filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zstandard filter=lfs diff=lfs merge=lfs -text +*.tfevents* filter=lfs diff=lfs merge=lfs -text +*.db* filter=lfs diff=lfs merge=lfs -text +*.ark* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.gguf* filter=lfs diff=lfs merge=lfs -text +*.ggml filter=lfs diff=lfs merge=lfs -text +*.llamafile* filter=lfs diff=lfs merge=lfs -text +*.pt2 filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.wasm 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 \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..e41966c --- /dev/null +++ b/README.md @@ -0,0 +1,123 @@ +--- +license: apache-2.0 +language: +- en +base_model: +- Qwen/Qwen2.5-14B-Instruct +pipeline_tag: text-generation +library_name: transformers +tags: +- text-generation-inference +- reasoning +- GOP +- RL +- math +--- + +![6.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/Qd7R84qY0OC67XuTcLgzm.png) + +# **Belenos-8574-14B-GOP** + +> **Belenos-8574-14B-GOP** is based on the Qwen 2.5 14B modality architecture, designed to optimize performance for mathematical reasoning, general-purpose problem solving, and robust policy optimization using distributed reinforcement learning (RL). This model excels in contextual understanding, logical deduction, multi-step reasoning, and optimization-based tasks. It has been fine-tuned using long chain-of-thought datasets, optimization problem-solving corpora, and structured reasoning datasets to improve comprehension, structured responses, and intelligent decision-making. + +## **Key Improvements** +1. **Advanced Mathematical and Logical Reasoning**: + Enhanced capabilities for solving complex equations, optimization tasks, symbolic computation, theorem proving, and step-by-step math problem-solving. + +2. **Robust Policy Optimization**: + Fine-tuned for distributed reinforcement learning (RL) tasks, improving decision-making robustness and solution generalization across complex optimization problems. + +3. **General Knowledge and Problem Solving**: + Strong foundation across diverse domains, excelling in answering factual questions and executing structured multi-step reasoning processes. + +4. **Instruction Following and Adaptability**: + Improved performance in understanding complex instructions and adapting to diverse prompts, maintaining coherence across extended conversations. + +5. **Long-Context Understanding**: + Supports up to 128K tokens for input, and can generate up to 8K tokens, ideal for deep, multi-turn dialogues, mathematical derivations, and long-chain logical reasoning. + +6. **Coding and Algorithmic Mastery**: + Excels in code generation, debugging, algorithm design, refactoring, and analysis across multiple programming languages, with a special focus on optimization algorithms. + +## **Quickstart with transformers** + +Here's how to load and use the model with the `transformers` library and `apply_chat_template`: + +```python +from transformers import AutoModelForCausalLM, AutoTokenizer + +model_name = "prithivMLmods/Belenos-8574-14B-GOP" + +model = AutoModelForCausalLM.from_pretrained( + model_name, + torch_dtype="auto", + device_map="auto" +) +tokenizer = AutoTokenizer.from_pretrained(model_name) + +prompt = "Explain the key techniques used in robust policy optimization." +messages = [ + {"role": "system", "content": "You are an expert assistant in optimization, reinforcement learning, and general-purpose reasoning."}, + {"role": "user", "content": prompt} +] +text = tokenizer.apply_chat_template( + messages, + tokenize=False, + add_generation_prompt=True +) +model_inputs = tokenizer([text], return_tensors="pt").to(model.device) + +generated_ids = model.generate( + **model_inputs, + max_new_tokens=512 +) +generated_ids = [ + output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids) +] + +response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0] +``` + +## **Intended Use** +1. **Optimization Problem Solving**: + Specialized for solving and explaining general optimization problems, including convex, non-convex, and combinatorial optimization. + +2. **Mathematical and Logical Reasoning**: + Excels at solving equations, mathematical proofs, symbolic manipulations, and structured logical reasoning. + +3. **Reinforcement Learning Applications**: + Useful for designing, analyzing, and explaining RL algorithms, particularly robust and distributed RL. + +4. **Educational and Research Assistance**: + Suitable for providing detailed explanations, mathematical derivations, and research-oriented insights for students, educators, and researchers. + +5. **Coding and Algorithm Development**: + Ideal for writing, improving, debugging, and explaining code, with a strong emphasis on optimization algorithms and computational logic. + +6. **Conversational AI and Chatbots**: + Supports intelligent, context-aware dialogue generation for technical domains, education, and professional assistance. + +7. **Long-Form Technical Content Generation**: + Capable of producing extensive, coherent articles, reports, and tutorials, especially for technical and mathematical content. + +8. **Structured Data Processing**: + Analyzes and generates structured outputs such as JSON, tables, and formal proofs, beneficial for data science and automation. + +## **Limitations** +1. **High Hardware Requirements**: + Requires substantial memory and high-performance GPUs or TPUs due to large parameter size and long-context processing. + +2. **Potential Training Biases**: + May reflect biases present in optimization-specific datasets or mathematical corpora. + +3. **Creative Generation Limitations**: + Less optimized for freeform creative writing or storytelling compared to technical reasoning. + +4. **No Real-Time Awareness**: + Lacks knowledge of real-world events or developments post-training cutoff. + +5. **Error Propagation in Long-Chain Tasks**: + Small early errors in long mathematical or optimization tasks may propagate in extended outputs. + +6. **Prompt Sensitivity**: + The quality of outputs can be sensitive to prompt clarity and structure, especially for complex optimization or technical questions. \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..a660a1d --- 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a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..9967ff3 --- /dev/null +++ b/tokenizer_config.json @@ -0,0 +1,35 @@ +{ + "add_bos_token": true, + "add_eos_token": false, + "bos_token": { + "__type": "AddedToken", + "content": "<｜begin▁of▁sentence｜>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false + }, + "clean_up_tokenization_spaces": false, + "eos_token": { + "__type": "AddedToken", + "content": "<｜end▁of▁sentence｜>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false + }, + "legacy": true, + "model_max_length": 16384, + "pad_token": { + "__type": "AddedToken", + "content": "<｜end▁of▁sentence｜>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false + }, + "sp_model_kwargs": {}, + "unk_token": null, + "tokenizer_class": "LlamaTokenizerFast", + "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 '' in content %}{% set content = content.split('')[-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｜>\\n'}}{% endif %}" +} \ No newline at end of file