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Model: afrideva/Phi-3-mini-4k-instruct-function-calling-assistant-spanish-pofi-v2-GGUF Source: Original Platform
2026-08-17 16:08:16 +08:00
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+---
+base_model: Bluckr/Phi-3-mini-4k-instruct-function-calling-assistant-spanish-pofi-v2
+datasets:
+- Bluckr/function-calling-assistant-spanish-pofi-v2
+inference: true
+language:
+- es
+license: mit
+model_creator: Bluckr
+model_name: Phi-3-mini-4k-instruct-function-calling-assistant-spanish-pofi-v2
+pipeline_tag: text-generation
+quantized_by: afrideva
+tags:
+- nlp
+- code
+- phi-3
+- chat
+- function-call
+- gguf
+- ggml
+- quantized
+widget:
+- messages:
+  - content: '### Input: Que sabes hacer? ### Response:'
+    role: user
+---
+
+# Phi-3-mini-4k-instruct-function-calling-assistant-spanish-pofi-v2-GGUF
+
+Quantized GGUF model files for [Phi-3-mini-4k-instruct-function-calling-assistant-spanish-pofi-v2](https://huggingface.co/Bluckr/Phi-3-mini-4k-instruct-function-calling-assistant-spanish-pofi-v2) from [Bluckr](https://huggingface.co/Bluckr)
+
+## Original Model Card:
+
+<div style="text-align: center;">
+  <img src="https://cdn-uploads.huggingface.co/production/uploads/64beeb8f4b4ff0d5097ddcfc/HF124f84-X7L_rPynRa4n.gif" alt="Pofi" width="300" style="display: block; margin: 0 auto;" />
+</div>
+
+Phi 3 adjusted to behave like assistant Pofi, training data works with the function calling method.
+is a fine-tuned version of ["unsloth/Phi-3-mini-4k-instruct"](https://huggingface.co/unsloth/Phi-3-mini-4k-instruct)
+Pofi can:
+
+| Utilities                   | 
+|-----------------------------|
+| Setting alarms              |
+| Connecting to the web       |
+| Sending files               |
+| Sending messages            |
+| Saving strings of characters|
+| Opening applications        |
+| Creating files              |
+| Manipulating the system     |
+
+
+## Simple Inference API
+```python
+import requests
+
+API_URL = "https://api-inference.huggingface.co/models/Bluckr/Phi-3-mini-4k-instruct-function-calling-assistant-spanish-pofi-v2"
+headers = {"Authorization": "Bearer %s"%token_id}
+def query(payload):
+	response = requests.post(API_URL, headers=headers, json=payload)
+	print(response.json())
+
+prompt = """### Input: cómo te llamas? ### Response:"""
+
+output = query({
+  "inputs": prompt
+})
+```
+# Response
+```python
+[{'generated_text': '### Input: cómo te llamas? ### Response: soy Pofi.'}]
+```
+
+
+## Unsloth Inference
+```python
+%%capture
+# Installs Unsloth, Xformers (Flash Attention) and all other packages!
+!pip install "unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git"
+!pip install --no-deps "xformers<0.0.26" trl peft accelerate bitsandbytes
+```
+
+```python
+alpaca_prompt = """Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
+
+### Instruction:
+{}
+
+### Input:
+{}
+
+### Response:
+{}"""
+```
+
+
+```python
+from unsloth import FastLanguageModel
+model, tokenizer = FastLanguageModel.from_pretrained(
+    model_name = "Bluckr/Phi-3-mini-4k-instruct-function-calling-assistant-spanish-pofi-v2", 
+    max_seq_length = 2048,
+    dtype = None,
+    load_in_4bit = True,
+)
+FastLanguageModel.for_inference(model)
+```
+
+```python
+inputs = tokenizer(
+[
+    alpaca_prompt.format(
+        """""functions":[{'name': 'fnt_programa', 'description': 'el usuario solicita un programa.', 'parameters': [{'description': 'nombre del programa solicitado.', 'name': 'programa', 'required': True, 'type': 'string'}]},
+        {'name': 'fnt_buscar_web', 'description': 'el usuario solicita una busqueda en internet.', 'parameters': [{'description': 'busqueda especifica.', 'name': 'busqueda', 'required': False, 'type': 'string'}, {'description': 'página especifica para la busqueda', 'name': 'sitio', 'required': False, 'type': 'string'}]},
+        {'name': 'fnt_buscar_lugares', 'description': 'el usuario solicita la ubicación de un lugar.', 'parameters': [{'description': 'lugar especifico.', 'name': 'lugar', 'required': True, 'type': 'string'}, {'description': 'ubicación del lugar', 'name': 'ubicación', 'required': False, 'type': 'string'}]},
+        {'name': 'fnt_enviar_mensajes', 'description': 'el usuario desea enviar un mensaje.', 'parameters': [{'description': 'el usuario especifica a quien enviar el mensaje.', 'name': 'destinatario', 'required': True, 'type': 'string'}, {'description': 'contenido que desea enviar el usuario', 'name': 'mensaje', 'required': True, 'type': 'string'}]},
+        {'name': 'fnt_crear_archivo', 'description': 'el usuario desea crear un archivo.', 'parameters': [{'description': 'el usuario especifica el nombre del archivo.', 'name': 'nombre', 'required': False, 'type': 'string'}, {'description': 'ubicación donde se creará el archivo', 'name': 'ubicación', 'required': False, 'type': 'string'}, {'description': 'extensión del archivo', 'name': 'extensión', 'required': False, 'type': 'string'}]},
+        {'name': 'fnt_establecer_alarma', 'description': 'el usuario desea una alarma o recordatorio', 'parameters': [{'description': 'el usuario especifica el nombre de la alarma.', 'name': 'nombre', 'required': False, 'type': 'string'}, {'description': 'hora de la alarma', 'name': 'hora', 'required': True, 'type': 'string'}, {'description': 'día que se activará la alarma', 'name': 'día', 'required': False, 'type': 'string'}]},
+        {'name': 'fnt_enviar_archivos', 'description': 'el usuario solicita el envio de archivos.', 'parameters': [{'description': 'archivos especificos.', 'name': 'archivos', 'required': True, 'type': 'string'}, {'description': 'destino donde llegarán los archivos', 'name': 'destino', 'required': True, 'type': 'string'}]},
+        {'name': 'fnt_guardar_valores', 'description': 'el usuario solicita almacenar valores.', 'parameters': [{'description': 'valor a almacenar.', 'name': 'valor', 'required': True, 'type': 'string'}, {'description': 'lugar de almacenamiento', 'name': 'lugar', 'required': False, 'type': 'string'}]},
+        {'name': 'fnt_hora', 'description': 'el usuario solicita la hora', 'parameters': [{'description': 'ubicación donde la hora es solicitada.', 'name': 'ubicacion', 'required': True, 'type': 'string'}]},
+        {'name': 'fnt_clima', 'description': 'el usuario solicita el clima', 'parameters': [{'description': 'ubicación donde se solicita el clima.', 'name': 'ubicacion', 'required': True, 'type': 'string'}]},
+        {'name': 'fnt_significado', 'description': 'el usuario solicita el significado de una palabra', 'parameters': [{'description': 'palabra solicitada.', 'name': 'palabra', 'required': True, 'type': 'string'}]},""", # instruction
+        "Pofi envia el archivo de selfie.jpg a drive", # input
+        "", # output - leave this blank for generation!
+    )
+], return_tensors = "pt").to("cuda")
+
+outputs = model.generate(**inputs, max_new_tokens = 64, use_cache = True)
+tokenizer.batch_decode(outputs)
+```
+# Response
+```python
+Response:\nEnviando el archivo de selfie.jpg a drive.{"function_call":{"name":"fnt_enviar_archivos","arguments":{"archivos":"selfie.jpg","destino":"drive"}}}<|endoftext|>']
+```
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