From d663c9fee271420f2a76e4bd6818f543529a6aae Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Fri, 10 Jul 2026 04:36:10 +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: resect-ai/veritas-0.6B-fact-checker-non-thinking-1.0 Source: Original Platform --- .gitattributes | 39 ++++++++++++++ README.md | 120 +++++++++++++++++++++++++++++++++++++++++ chat_template.jinja | 89 ++++++++++++++++++++++++++++++ config.json | 63 ++++++++++++++++++++++ generation_config.json | 13 +++++ model.safetensors | 3 ++ tokenizer.json | 3 ++ tokenizer_config.json | 30 +++++++++++ 8 files changed, 360 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.safetensors create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..7456c61 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,39 @@ +*.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 +checkpoint-1500/tokenizer.json filter=lfs diff=lfs merge=lfs -text +checkpoint-2500/tokenizer.json filter=lfs diff=lfs merge=lfs -text +checkpoint-2970/tokenizer.json 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..75fc30a --- /dev/null +++ b/README.md @@ -0,0 +1,120 @@ +--- +base_model: Qwen/Qwen3-0.6B +tags: +- transformers +- factual-grounding +- fact-checking +- qwen3 +license: apache-2.0 +language: +- en +--- +# About Resect Research Labs +- Resect Research Labs focuses on improving factual grounding as well as detecting, reducing, and mitigating hallucinations in AI models through proprietary reinforcement learning and novel fine-tuning techniques. + +## Introducing: Veritas-0.6B-Fact-Checker-Non-Thinking-1.0 +- **Veritas-0.6B-Fact-Checker-Non-Thinking-1.0** is built on the **Qwen3 architecture**, starting from [**(Qwen/Qwen3-0.6B)**](https://huggingface.co/Qwen/Qwen3-0.6B). Resect Research Labs has specialized, finetuned, and optimized this model for **fact-checking and factual consistency verification**. + +### Model Performance +- The performance of this model is evaluated on [LLM-AggreFact](https://huggingface.co/datasets/lytang/LLM-AggreFact) (unseen by this model during training), +the benchmark is an aggregation of 11 human annotated datasets on fact-checking and grounding. + +### Overall Performance +- **Veritas-0.6B-Fact-Checker-Non-Thinking-1.0** achieves an **average score of 72.30%**, an improvement of **7.37%** above Qwen3-0.6B in non-thinking mode. + +### Benchmark Details (LLM-AggreFact) + +Balanced Accuracy Scores + +| Model | Size | Avg | CNN | XSum | MediaS | MeetB | WiCE | REVEAL | Claim Verify | Fact Check | Expert QA | LFQA | RAG Truth | +|------|------|------|------|------|--------|-------|------|--------|--------------|------------|-----------|------|-----------| +| Qwen3-0.6B (non-thinking) | 0.6B | 64.93 | 57.93 | 66.71 | 57.13 | 62.60 | 67.23 | **86.99** | 59.85 | 72.63 | 56.44 | 70.18 | 56.56 | +| Veritas-0.6B-Fact-Checker-Non-Thinking-1.0 | 0.6B | **72.30** | **65.84** | **66.75** | **68.45** | **73.47** | **73.43** | 83.32 | **71.89** | **73.45** | **58.66** | **82.57** | **77.49** | + +**The benchmarks noted here for Veritas-0.6B-Fact-Checker-Non-Thinking-1.0 were performed on the test set and a PR has been submitted to [Minicheck's Library (Pull Request)](https://github.com/Liyan06/MiniCheck/pull/17) to support additional operating modes including this model.** +Note: Performance may vary slightly depending on hardware configuration and vLLM version + + + +--- + +# Model Usage + +## Scope of Use + +* Veritas-0.6B-Fact-Checker-Non-Thinking model must only be used strictly for the prescribed scoring mode, which generates a binary classification based on the specified template. Any deviation from this intended use may lead to unexpected outputs. + +## Using Minicheck's library [^2] +**Requires the changes from our Pull Request to be merged, see [^2]** + +Please run the following command to install the **MiniCheck package** and all necessary dependencies. +```sh +pip install "minicheck[llm] @ git+https://github.com/Liyan06/MiniCheck.git@main" +``` + +[^2]: Pull Request to [Minicheck's library submitted](https://github.com/Liyan06/MiniCheck/pull/17) awaiting review + +#### Below is a simple use case + +```python +from minicheck.minicheck import MiniCheck +import os +os.environ["CUDA_VISIBLE_DEVICES"] = "0" + +doc = "A group of students gather in the school library to study for their upcoming final exams." +claim_1 = "The students are preparing for an examination." +claim_2 = "The students are on vacation." + +chat_kwargs = {'enable_thinking': False} + +scorer = MiniCheck(model_name='resect-ai/veritas-0.6B-fact-checker-non-thinking-1.0', enable_prefix_caching=False, extra_chat_template_kwargs=chat_kwargs, operating_mode="bespoke", max_tokens=1, cache_dir='./ckpts', bypass_model_check=True) +pred_label, raw_prob, _, _ = scorer.score(docs=[doc, doc], claims=[claim_1, claim_2]) # can set `chunk_size=your-specified-value` here, default to 32K chunk size. + +print(pred_label) # [1, 0] +print(raw_prob) # [0.9796443054985795, 0.008577403129593576] +``` + +### Test on [LLM-AggreFact](https://huggingface.co/datasets/lytang/LLM-AggreFact) Benchmark [^2] + +```python +import pandas as pd +from datasets import load_dataset +from minicheck.minicheck import MiniCheck +import os +os.environ["CUDA_VISIBLE_DEVICES"] = "0" + +# load 30K test data +df = pd.DataFrame(load_dataset("lytang/LLM-AggreFact")['test']) +docs = df.doc.values +claims = df.claim.values + +chat_kwargs = {'enable_thinking': False} + +scorer = MiniCheck(model_name='resect-ai/veritas-0.6B-fact-checker-non-thinking-1.0', enable_prefix_caching=False, extra_chat_template_kwargs=chat_kwargs, operating_mode="bespoke", max_tokens=1, cache_dir='./ckpts', bypass_model_check=True) +pred_label, raw_prob, _, _ = scorer.score(docs=docs, claims=claims) +``` + +To evaluate the result on the benchmark +```python +from sklearn.metrics import balanced_accuracy_score + +df['preds'] = pred_label +result_df = pd.DataFrame(columns=['Dataset', 'BAcc']) +for dataset in df.dataset.unique(): + sub_df = df[df.dataset == dataset] + bacc = balanced_accuracy_score(sub_df.label, sub_df.preds) * 100 + result_df.loc[len(result_df)] = [dataset, bacc] + +result_df.loc[len(result_df)] = ['Average', result_df.BAcc.mean()] +result_df.round(1) +``` + +[^2]: Pull Request to [Minicheck's library submitted](https://github.com/Liyan06/MiniCheck/pull/17) awaiting review + +# License +- This model **Veritas-0.6B-Fact-Checker-Non-Thinking-1.0** is bound by the Apache 2.0 license found at https://choosealicense.com/licenses/apache-2.0. By downloading and using this model you agree to the license terms. + + +# Acknowledgements + +Model perfected by [Resect Research Labs](https://www.resect.ai/). \ No newline at end of file diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..01be9b3 --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,89 @@ +{%- 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 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' }} + {%- endif %} +{%- endif %} +{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %} +{%- for message in messages[::-1] %} + {%- set index = (messages|length - 1) - loop.index0 %} + {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('') and message.content.endswith('')) %} + {%- set ns.multi_step_tool = false %} + {%- set ns.last_query_index = index %} + {%- endif %} +{%- endfor %} +{%- 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" %} + {%- set reasoning_content = '' %} + {%- if message.reasoning_content is string %} + {%- set reasoning_content = message.reasoning_content %} + {%- else %} + {%- if '' in content %} + {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %} + {%- set content = content.split('')[-1].lstrip('\n') %} + {%- endif %} + {%- endif %} + {%- if loop.index0 > ns.last_query_index %} + {%- if loop.last or (not loop.last and reasoning_content) %} + {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content.strip('\n') + '\n\n\n' + content.lstrip('\n') }} + {%- else %} + {{- '<|im_start|>' + message.role + '\n' + content }} + {%- endif %} + {%- else %} + {{- '<|im_start|>' + message.role + '\n' + content }} + {%- endif %} + {%- 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 %} + {{- '\n{"name": "' }} + {{- tool_call.name }} + {{- '", "arguments": ' }} + {%- if tool_call.arguments is string %} + {{- tool_call.arguments }} + {%- else %} + {{- tool_call.arguments | tojson }} + {%- endif %} + {{- '}\n' }} + {%- endfor %} + {%- endif %} + {{- '<|im_end|>\n' }} + {%- elif message.role == "tool" %} + {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %} + {{- '<|im_start|>user' }} + {%- endif %} + {{- '\n\n' }} + {{- 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' }} + {%- if enable_thinking is defined and enable_thinking is false %} + {{- '\n\n\n\n' }} + {%- endif %} +{%- endif %} \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..44acd29 --- /dev/null +++ b/config.json @@ -0,0 +1,63 @@ +{ + "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": 1024, + "initializer_range": 0.02, + "intermediate_size": 3072, + "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" + ], + "max_position_embeddings": 40960, + "max_window_layers": 28, + "model_type": "qwen3", + "num_attention_heads": 16, + "num_hidden_layers": 28, + "num_key_value_heads": 8, + "pad_token_id": 151643, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "rope_theta": 1000000, + "rope_type": "default" + }, + "sliding_window": null, + "tie_word_embeddings": true, + "transformers_version": "5.6.2", + "use_cache": false, + "use_sliding_window": false, + "vocab_size": 151936 +} diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..632acd0 --- /dev/null +++ b/generation_config.json @@ -0,0 +1,13 @@ +{ + "bos_token_id": 151643, + "do_sample": true, + "eos_token_id": [ + 151645, + 151643 + ], + "pad_token_id": 151643, + "temperature": 0.6, + "top_k": 20, + "top_p": 0.95, + "transformers_version": "5.6.2" +} diff --git a/model.safetensors b/model.safetensors new file mode 100644 index 0000000..2bfc388 --- /dev/null +++ b/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:54b6d0f22d6f996bfbdc457307cee3a8b83e56a1d422e2a22d12c99263b80053 +size 1192135096 diff --git a/tokenizer.json b/tokenizer.json new file mode 100644 index 0000000..ffe4885 --- /dev/null +++ b/tokenizer.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:edfc0debec846c25f2dd452061f7725bf5b66336912a33ba1ec10ebd6c4b49cf +size 11422749 diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..770e41d --- /dev/null +++ b/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": false, + "local_files_only": false, + "model_max_length": 131072, + "pad_token": "<|endoftext|>", + "split_special_tokens": false, + "tokenizer_class": "Qwen2Tokenizer", + "unk_token": null +}