初始化项目，由ModelHub XC社区提供模型

Model: Feudor2/he_hallucination_detector_v1.0
Source: Original Platform

.gitattributes

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README.md

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+---
+library_name: transformers
+tags: []
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
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+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
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+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
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+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+### Direct Use
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+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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+[More Information Needed]
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+### Downstream Use [optional]
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+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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+### Out-of-Scope Use
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+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+## Bias, Risks, and Limitations
+
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+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
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+## Training Details
+
+### Training Data
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+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+#### Preprocessing [optional]
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+
+#### Training Hyperparameters
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+
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+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
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+[More Information Needed]
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+#### Factors
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+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+[More Information Needed]
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+#### Metrics
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+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
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+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
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+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
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+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
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+### Compute Infrastructure
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chat_template.jinja

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+<s>{%- set names = {'assistant': ' Ассистент:', 'user': ' Пользователь:'} %}
+{%- set tools_prefix = 'Тебе доступны следующие функции:' %}
+
+{%- macro __render_tool(tool) %}
+    {%- set name = tool.function.name %}
+    {%- set description = tool.function.description|default('') %}
+    {%- set parameters = tool.function.parameters|tojson %}
+    {{- '\n' }}function {{ '{' }}'name':'{{ name }}',
+    {%- if tool.description %}'description':'{{ description }}',{% endif %}
+'parameters':{{ parameters }}
+    {{- '}' }}
+{%- endmacro %}
+
+{%- macro __render_tools(tools) %}
+    {{- tools_prefix }}
+    {%- for tool in tools %}
+        {{- __render_tool(tool) }}
+    {%- endfor %}
+    {{- '\n\n' }}
+{%- endmacro %}
+
+{%- macro __render_tool_message(message) %}
+    {{- '\n\nРезультат вызова' }} {{ message.name }}: {{ message.content }} {{ '\n\n' }}
+{%- endmacro %}
+
+{%- if tools -%}
+    {{- __render_tools(tools) }}
+{%- endif -%}
+
+{%- macro __render_user_message(message) %}
+{{ names.user }} {{ message.content + '\n\n' }}
+{%- endmacro %}
+
+{%- macro __render_assistant_message(message) %}
+    {{- names.assistant }}
+    {%- set call = message['function_call'] %}
+    {%- if call %}
+        {{- '\n[TOOL_CALL_START]' }}{{ call.name }}{{ '\n' }}{{ call.arguments|tojson }}
+    {%- else %}
+        {{- ' ' + message.content + '\n\n' }}
+    {%- endif %}
+{%- endmacro %}
+
+{%- if not add_generation_prompt is defined %}
+{%- set add_generation_prompt = false %}
+{%- endif %}
+
+{%- for message in messages %}
+    {%- if message['role'] == 'user' %}
+        {{- __render_user_message(message) }}
+    {%- endif %}
+
+    {%- if message.role == 'assistant' and not loop.last %}
+        {{- __render_assistant_message(message) }}
+    {%- endif %}
+
+    {%- if message.role == 'tool' %}
+        {{- __render_tool_message(message) }}
+    {%- endif %}
+
+    {%- if loop.last %}
+        {{- ' Ассистент:[SEP]' }}
+    {%- endif %}
+
+{%- endfor %}

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "dtype": "float16",
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.57.3",
+  "use_cache": true,
+  "vocab_size": 129024
+}

generation_config.json

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+{
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "temperature": 0.3,
+  "top_p": 0.9,
+  "transformers_version": "4.57.3"
+}

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