commit e89a8c71ad65b4bb8b59669a68d69a0417b92764 Author: ModelHub XC Date: Fri May 15 00:57:50 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: nguyenthanhthuan/Llama_3.2_1B_Intruct_Tool_Calling Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..b546ad5 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,38 @@ +*.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 +unsloth.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text +Llama_3.2_1B_Intruct_Tool_Calling_V1.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text diff --git a/Llama_3.2_1B_Intruct_Tool_Calling_V1.Q8_0.gguf b/Llama_3.2_1B_Intruct_Tool_Calling_V1.Q8_0.gguf new file mode 100644 index 0000000..d6f86c0 --- /dev/null +++ b/Llama_3.2_1B_Intruct_Tool_Calling_V1.Q8_0.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:07116f6f18d117bf84697533c826844c78a845a942427c59b3f29b4729cc8c64 +size 1321079424 diff --git a/Modelfile b/Modelfile new file mode 100644 index 0000000..b3b769b --- /dev/null +++ b/Modelfile @@ -0,0 +1,46 @@ +FROM Llama_3.2_1B_Intruct_Tool_Calling_V1.Q8_0.gguf + +TEMPLATE """<|start_header_id|>system<|end_header_id|> + +Cutting Knowledge Date: December 2023 + +{{ if .System }}{{ .System }} +{{- end }} +{{- if .Tools }}When you receive a tool call response, use the output to format an answer to the orginal user question. + +You are a helpful assistant with tool calling capabilities. +{{- end }}<|eot_id|> +{{- range $i, $_ := .Messages }} +{{- $last := eq (len (slice $.Messages $i)) 1 }} +{{- if eq .Role "user" }}<|start_header_id|>user<|end_header_id|> +{{- if and $.Tools $last }} + +Given the following functions, please respond with a JSON for a function call with its proper arguments that best answers the given prompt. + +Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}. Do not use variables. + +{{ range $.Tools }} +{{- . }} +{{ end }} +{{ .Content }}<|eot_id|> +{{- else }} + +{{ .Content }}<|eot_id|> +{{- end }}{{ if $last }}<|start_header_id|>assistant<|end_header_id|> + +{{ end }} +{{- else if eq .Role "assistant" }}<|start_header_id|>assistant<|end_header_id|> +{{- if .ToolCalls }} +{{ range .ToolCalls }} +{"name": "{{ .Function.Name }}", "parameters": {{ .Function.Arguments }}}{{ end }} +{{- else }} + +{{ .Content }} +{{- end }}{{ if not $last }}<|eot_id|>{{ end }} +{{- else if eq .Role "tool" }}<|start_header_id|>ipython<|end_header_id|> + +{{ .Content }}<|eot_id|>{{ if $last }}<|start_header_id|>assistant<|end_header_id|> + +{{ end }} +{{- end }} +{{- end }}""" diff --git a/README.md b/README.md new file mode 100644 index 0000000..9c24102 --- /dev/null +++ b/README.md @@ -0,0 +1,254 @@ +--- +base_model: +- meta-llama/Llama-3.2-1B-Instruct +language: +- en +- vi +license: apache-2.0 +tags: +- text-generation-inference +- transformers +- unsloth +- llama +- trl +- Ollama +- Tool-Calling +datasets: +- nguyenthanhthuan/function-calling-sharegpt +--- +# Function Calling Llama Model Version 1 + +## Overview +A specialized fine-tuned version of the **`meta-llama/Llama-3.2-1B-Instruct`** model enhanced with function/tool calling capabilities. The model leverages the **`hiyouga/glaive-function-calling-v2-sharegpt`** dataset for training. + +## Model Specifications + +* **Base Architecture**: meta-llama/Llama-3.2-1B-Instruct +* **Primary Language**: English (Function/Tool Calling), Vietnamese +* **Licensing**: Apache 2.0 +* **Primary Developer**: nguyenthanhthuan_banhmi +* **Key Capabilities**: text-generation-inference, transformers, unsloth, llama, trl, Ollama, Tool-Calling + +## Getting Started + +### Prerequisites +Method 1: +1. Install [Ollama](https://ollama.com/) +2. Install required Python packages: + ```bash + pip install langchain pydantic torch langchain-ollama + ``` +Method 2: +1. Click use this model +2. Click Ollama + +### Installation Steps + +1. Clone the repository +2. Navigate to the project directory +3. Create the model in Ollama: + ```bash + ollama create -f + ``` + +## Implementation Guide + +### Model Initialization + +```python +from langchain_ollama import ChatOllama + +# Initialize model instance +llm = ChatOllama(model="") +``` + +### Basic Usage Example + +```python +# Arithmetic computation example +query = "What is 3 * 12? Also, what is 11 + 49?" +response = llm.invoke(query) + +print(response.content) +# Output: +# 1. 3 times 12 is 36. +# 2. 11 plus 49 is 60. +``` + +### Advanced Function Calling (English Recommended) + +#### Basic Arithmetic Tools +```python +from pydantic import BaseModel, Field + +class add(BaseModel): + """Addition operation for two integers.""" + a: int = Field(..., description="First integer") + b: int = Field(..., description="Second integer") + +class multiply(BaseModel): + """Multiplication operation for two integers.""" + a: int = Field(..., description="First integer") + b: int = Field(..., description="Second integer") + +# Tool registration +tools = [add, multiply] +llm_tools = llm.bind_tools(tools) + +# Execute query +response = llm_tools.invoke(query) +print(response.content) +# Output: +# {"type":"function","function":{"name":"multiply","arguments":[{"a":3,"b":12}]}} +# {"type":"function","function":{"name":"add","arguments":[{"a":11,"b":49}}]}} +``` + +#### Complex Tool Integration + +```python +from pydantic import BaseModel, Field +from typing import List, Optional + +class SendEmail(BaseModel): + """Send an email to specified recipients.""" + + to: List[str] = Field(..., description="List of email recipients") + subject: str = Field(..., description="Email subject") + body: str = Field(..., description="Email content/body") + cc: Optional[List[str]] = Field(None, description="CC recipients") + attachments: Optional[List[str]] = Field(None, description="List of attachment file paths") + +class WeatherInfo(BaseModel): + """Get weather information for a specific location.""" + + city: str = Field(..., description="City name") + country: Optional[str] = Field(None, description="Country name") + units: str = Field("celsius", description="Temperature units (celsius/fahrenheit)") + +class SearchWeb(BaseModel): + """Search the web for given query.""" + + query: str = Field(..., description="Search query") + num_results: int = Field(5, description="Number of results to return") + language: str = Field("en", description="Search language") + +class CreateCalendarEvent(BaseModel): + """Create a calendar event.""" + + title: str = Field(..., description="Event title") + start_time: str = Field(..., description="Event start time (ISO format)") + end_time: str = Field(..., description="Event end time (ISO format)") + description: Optional[str] = Field(None, description="Event description") + attendees: Optional[List[str]] = Field(None, description="List of attendee emails") + +class TranslateText(BaseModel): + """Translate text between languages.""" + + text: str = Field(..., description="Text to translate") + source_lang: str = Field(..., description="Source language code (e.g., 'en', 'es')") + target_lang: str = Field(..., description="Target language code (e.g., 'fr', 'de')") + +class SetReminder(BaseModel): + """Set a reminder for a specific time.""" + + message: str = Field(..., description="Reminder message") + time: str = Field(..., description="Reminder time (ISO format)") + priority: str = Field("normal", description="Priority level (low/normal/high)") + +# Combine all tools +tools = [ + SendEmail, + WeatherInfo, + SearchWeb, + CreateCalendarEvent, + TranslateText, + SetReminder +] +llm_tools = llm.bind_tools(tools) + +# Example usage +query = "Set a reminder to call John at 3 PM tomorrow. Also, translate 'Hello, how are you?' to Spanish." +print(llm_tools.invoke(query).content) +# Output: +# {"type":"function","function":{"name":"SetReminder","arguments":{"message":"Call John at 3 PM tomorrow"},"arguments":{"time":"","priority":"normal"}}} +# {"type":"function","function":{"name":"TranslateText","arguments":{"text":"Hello, how are you?", "source_lang":"en", "target_lang":"es"}} +``` + +## Core Features + +* Arithmetic computation support +* Advanced function/tool calling capabilities +* Seamless Langchain integration +* Full Ollama platform compatibility + +## Technical Details + +### Dataset Information +Training utilized the **`hiyouga/glaive-function-calling-v2-sharegpt`** dataset, featuring comprehensive function calling interaction examples. + +### Known Limitations + +* Basic function/tool calling +* English language support exclusively +* Ollama installation dependency + +## Important Notes & Considerations + +### Potential Limitations and Edge Cases + +* **Function Parameter Sensitivity**: The model may occasionally misinterpret complex parameter combinations, especially when multiple optional parameters are involved. Double-check parameter values in critical applications. + +* **Response Format Variations**: + - In some cases, the function calling format might deviate from the expected JSON structure + - The model may generate additional explanatory text alongside the function call + - Multiple function calls in a single query might not always be processed in the expected order + +* **Error Handling Considerations**: + - Empty or null values might not be handled consistently across different function types + - Complex nested objects may sometimes be flattened unexpectedly + - Array inputs might occasionally be processed as single values + +### Best Practices for Reliability + +1. **Input Validation**: + - Always validate input parameters before processing + - Implement proper error handling for malformed function calls + - Consider adding default values for optional parameters + +2. **Testing Recommendations**: + - Test with various input combinations and edge cases + - Implement retry logic for inconsistent responses + - Log and monitor function call patterns for debugging + +3. **Performance Optimization**: + - Keep function descriptions concise and clear + - Limit the number of simultaneous function calls + - Cache frequently used function results when possible + +### Known Issues + +* Model may struggle with: + - Very long function descriptions + - Highly complex nested parameter structures + - Ambiguous or overlapping function purposes + - Non-English parameter values or descriptions + +## Development + +### Contributing Guidelines +We welcome contributions through issues and pull requests for improvements and bug fixes. + +### License Information +Released under Apache 2.0 license. See LICENSE file for complete terms. + +## Academic Citation + +```bibtex +@misc{function-calling-llama, + author = {nguyenthanhthuan_banhmi}, + title = {Function Calling Llama Model Vesion 1}, + year = {2024}, + publisher = {GitHub}, + journal = {GitHub repository} +} +``` \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..c988828 --- /dev/null +++ b/config.json @@ -0,0 +1,42 @@ +{ + "_name_or_path": "unsloth/llama-3.2-1b-instruct-bnb-4bit", + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 128000, + "eos_token_id": [ + 128001, + 128008, + 128009 + ], + "head_dim": 64, + "hidden_act": "silu", + "hidden_size": 2048, + "initializer_range": 0.02, + "intermediate_size": 8192, + "max_position_embeddings": 131072, + "mlp_bias": false, + "model_type": "llama", + "num_attention_heads": 32, + "num_hidden_layers": 16, + "num_key_value_heads": 8, + "pad_token_id": 128004, + 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