hiieu
/

Meta-Llama-3-8B-Instruct-function-calling-json-mode

@@ -1,201 +1,125 @@
 ---
 library_name: transformers
-tags: []
 ---
-# Model Card for Model ID
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-## Model Details
-### Model Description
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-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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 ---
 library_name: transformers
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- mistral
+- trl
+license: apache-2.0
+language:
+- en
+- vi
+base_model: meta-llama/Meta-Llama-3-8B-Instruct
 ---
+## Model Description
+This model was fine-tuned on meta-llama/Meta-Llama-3-8B-Instruct for function calling and json mode.
+## Usage
+### Function Calling
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+model_id = "hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+)
+functions_metadata = [
+    {
+      "type": "function",
+      "function": {
+        "name": "get_temperature",
+        "description": "get temperature of a city",
+        "parameters": {
+          "type": "object",
+          "properties": {
+            "city": {
+              "type": "string",
+              "description": "name"
+            }
+          },
+          "required": [
+            "city"
+          ]
+        }
+      }
+    }
+]
+messages = [
+    { "role": "system", "content": f"""You are a helpful assistant with access to the following functions: \n {str(functions_metadata)}\n\nTo use these functions respond with:\n<functioncall> {{ "name": "function_name", "arguments": {{ "arg_1": "value_1", "arg_1": "value_1", ... }} }} </functioncall>\n\nEdge cases you must handle:\n - If there are no functions that match the user request, you will respond politely that you cannot help."""},
+    { "role": "user", "content": "What is the temperature in Tokyo right now?"},
+    { "role": "gpt", "content": """<functioncall> {"name": "get_temperature", "arguments": '{"city": "Tokyo"}'} </functioncall>"""},
+    { "role": "user", "content": """<function_response> {"temperature":30 C} </function_response>"""}
+]
+input_ids = tokenizer.apply_chat_template(
+    messages,
+    add_generation_prompt=True,
+    return_tensors="pt"
+).to(model.device)
+terminators = [
+    tokenizer.eos_token_id,
+    tokenizer.convert_tokens_to_ids("<|eot_id|>")
+]
+outputs = model.generate(
+    input_ids,
+    max_new_tokens=256,
+    eos_token_id=terminators,
+    do_sample=True,
+    temperature=0.6,
+    top_p=0.9,
+)
+response = outputs[0][input_ids.shape[-1]:]
+print(tokenizer.decode(response, skip_special_tokens=True))
+# >> The current temperature in Tokyo is 30 degrees Celsius.
+```
+### JSON Mode
+```python
+messages = [
+    {"role": "system", "content": "You are a helpful assistant, answer in JSON with key \"message\""},
+    {"role": "user", "content": "Who are you?"},
+]
+input_ids = tokenizer.apply_chat_template(
+    messages,
+    add_generation_prompt=True,
+    return_tensors="pt"
+).to(model.device)
+terminators = [
+    tokenizer.eos_token_id,
+    tokenizer.convert_tokens_to_ids("<|eot_id|>")
+]
+outputs = model.generate(
+    input_ids,
+    max_new_tokens=256,
+    eos_token_id=terminators,
+    do_sample=True,
+    temperature=0.6,
+    top_p=0.9,
+)
+response = outputs[0][input_ids.shape[-1]:]
+print(tokenizer.decode(response, skip_special_tokens=True))
+# >> {"message": "I am a helpful assistant, with access to a vast amount of information. I can help you with tasks such as answering questions, providing definitions, translating text, and more. Feel free to ask me anything!"}
+```
+# Uploaded  model
+- **Developed by:** hiieu
+- **License:** apache-2.0
+This model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)