From 41cc05bfec7ddca3890c2a29e52b70565dc474a4 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Sun, 6 Sep 2026 18:18:16 +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: XXXiong/ChatHLS-HLSTuner Source: Original Platform --- .gitattributes | 36 ++ README.md | 167 +++++++++ chat_template.jinja | 54 +++ config.json | 78 ++++ generation_config.json | 13 + 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 | 587 +++++++++++++++++++++++++++++++ special_tokens_map.json | 31 ++ tokenizer.json | 3 + tokenizer_config.json | 208 +++++++++++ 15 files changed, 1195 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 chat_template.jinja create mode 100644 config.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 special_tokens_map.json create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..52373fe --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt 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 +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz 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 +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl 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 +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* 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 +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz 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 diff --git a/README.md b/README.md new file mode 100644 index 0000000..bcb1b02 --- /dev/null +++ b/README.md @@ -0,0 +1,167 @@ +--- +license: apache-2.0 +pipeline_tag: text-generation +tags: +- chat +- llm +- safetensors +base_model: Qwen/Qwen2.5-14B-Instruct +language: +- en +--- + +# ChatHLS-HLSTuner + +## Model Details + +- **Finetuned from model:** `Qwen/Qwen2.5-Coder-14B-Instruct` +- **Model source paper:** [ChatHLS: Towards Systematic Design Automation and Optimization for High-Level Synthesis](https://aclanthology.org/2026.acl-long.962/) +- **Project repository:** [GEAR-SEU/ChatHLS-ACL-26](https://github.com/GEAR-SEU/ChatHLS-ACL-26) + +## Description + +**ChatHLS-HLSTuner** is a specialized Large Language Model fine-tuned for High-Level Synthesis (HLS) C/C++ code optimization. It acts as the optimization analysis agent within the ChatHLS framework. + +## Quickstart + +### Prerequisites +```bash +pip install transformers torch accelerate +``` + +### Example + +Here is a simple example of how to format your prompt and generate optimization analysis for HLS code: + +````python +from transformers import AutoModelForCausalLM, AutoTokenizer +import torch + +model_name = "XXXiong/ChatHLS-HLSTuner" +tokenizer = AutoTokenizer.from_pretrained(model_name) +model = AutoModelForCausalLM.from_pretrained( + model_name, + torch_dtype=torch.bfloat16, + device_map="auto" +) + +hls_code = """ +#include "ap_fixed.h" +#include "hls_math.h" + +typedef ap_fixed<32,16> t_ap_fixed; + +void gemm( + t_ap_fixed alpha, + t_ap_fixed beta, + t_ap_fixed C[ 20 + 0][25 + 0], + t_ap_fixed A[ 20 + 0][30 + 0], + t_ap_fixed B[ 30 + 0][25 + 0]) +{ + #pragma HLS top name=gemm + + const int ni = 20; + const int nj = 25; + const int nk = 30; + + int i, j, k; +L1: for (i = 0; i < ni; i++) { +L2: for (j = 0; j < nj; j++) + C[i][j] *= beta; +L3: for (k = 0; k < nk; k++) { +L4: for (j = 0; j < nj; j++) + C[i][j] += alpha * A[i][k] * B[k][j]; + } + } +} +""" + +hls_code_ppa = """ +latency: 15661 cycles +util_dsp: 10.5% +util_ff: 0.4% +util_lut: 2.1% +""" + +loop_array_info = """ +kernel_gemm +L1,loop,20 +L2,loop,25 +L3,loop,30 +L4,loop,25 +C,array,20/25 +A,array,20/30 +B,array,30/25 +""" + +prompt = f"""Your task is to optimize the following HLS kernel by inserting `#pragma` directives +to enhance loops and arrays for lower latency and relatively low resource utilization. +You may use the following pragma types: + +- Loop Pipeline +- Loop Unroll +- Array Partition + +Provided code: +{hls_code} + +Current latency and hardware resource utilization: +{hls_code_ppa} + +Loop and array information: +{loop_array_info} + +Please suggest pragma modifications, specifying where to insert them and the reasoning behind each. +Provide only the suggestions without additional explanations or formatting. + +**Expected Output Format**: + +Detailed Reasoning: +```text +[Your step-by-step analysis here] +``` + +Optimization Strategies: +```json +{{ + "Optimization Strategies": [ + {{ + "Code Segment Before Optimization (Loop/Array)": "[Code line before optimization]", + "Code Segment After Optimization (Loop/Array)": "[Code line after inserting the pragma]", + "Reason": "[Explanation of why this pragma was inserted]", + "Result Analysis": {{ + "Impact of Inserting This Pragma on PPA": "[Description of the impact on Performance, Power, and Area]", + "Reason": "[Explanation of why this impact occurred based on the performance analysis]" + }} + }} + ] +}} +``` +""" + +messages = [ + {"role": "system", "content": """You are an expert proficient in HLS algorithm optimization, + improving algorithm PPA through inserting pragmas into arrays and loops in HLS code."""}, + {"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=2048, + temperature=0.7 +) +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] +print(response) +```` diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..bdf7919 --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,54 @@ +{%- if tools %} + {{- '<|im_start|>system\n' }} + {%- if messages[0]['role'] == 'system' %} + {{- messages[0]['content'] }} + {%- else %} + {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }} + {%- endif %} + {{- "\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 XML tags:\n" }} + {%- for tool in tools %} + {{- "\n" }} + {{- tool | tojson }} + {%- endfor %} + {{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n<|im_end|>\n" }} +{%- else %} + {%- if messages[0]['role'] == 'system' %} + {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }} + {%- else %} + {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }} + {%- endif %} +{%- endif %} +{%- for message in messages %} + {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %} + {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }} + {%- elif message.role == "assistant" %} + {{- '<|im_start|>' + message.role }} + {%- if message.content %} + {{- '\n' + message.content }} + {%- endif %} + {%- for tool_call in message.tool_calls %} + {%- if tool_call.function is defined %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {{- '\n\n{"name": "' }} + {{- tool_call.name }} + {{- '", "arguments": ' }} + {{- tool_call.arguments | tojson }} + {{- '}\n' }} + {%- endfor %} + {{- '<|im_end|>\n' }} + {%- elif message.role == "tool" %} + {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %} + {{- '<|im_start|>user' }} + {%- endif %} + {{- '\n\n' }} + {{- message.content }} + {{- '\n' }} + {%- 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 %} diff --git a/config.json b/config.json new file mode 100644 index 0000000..c6d5618 --- /dev/null +++ b/config.json @@ -0,0 +1,78 @@ +{ + "architectures": [ + "Qwen2ForCausalLM" + ], + "attention_dropout": 0.0, + "dtype": "bfloat16", + "eos_token_id": 151645, + "hidden_act": "silu", + "hidden_size": 5120, + "initializer_range": 0.02, + "intermediate_size": 13824, + "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", + 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