commit 4e0f9a80df9b925a7f3c1bb657977f44cc476804 Author: ModelHub XC Date: Mon Jul 13 14:11:06 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: prithivMLmods/Llama-3.2-3B-Promptist-Mini-GGUF Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..b92c63e --- /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 +Llama-3.2-3B-Promptist-Mini.F16.gguf filter=lfs diff=lfs merge=lfs -text +Llama-3.2-3B-Promptist-Mini.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text +Llama-3.2-3B-Promptist-Mini.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text +Llama-3.2-3B-Promptist-Mini.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text diff --git a/Llama-3.2-3B-Promptist-Mini.F16.gguf b/Llama-3.2-3B-Promptist-Mini.F16.gguf new file mode 100644 index 0000000..07d3575 --- /dev/null +++ b/Llama-3.2-3B-Promptist-Mini.F16.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1006eee99238ffcf359961ad4378e4dd5aa7d9d85e7eef6c009eed2a98d47025 +size 6433688384 diff --git a/Llama-3.2-3B-Promptist-Mini.Q4_K_M.gguf b/Llama-3.2-3B-Promptist-Mini.Q4_K_M.gguf new file mode 100644 index 0000000..9a1fb61 --- /dev/null +++ b/Llama-3.2-3B-Promptist-Mini.Q4_K_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:57264c60385ea44e38266bcf6b477c49c2b5d36edc04ff4a72f248a381427297 +size 2019377984 diff --git a/Llama-3.2-3B-Promptist-Mini.Q5_K_M.gguf b/Llama-3.2-3B-Promptist-Mini.Q5_K_M.gguf new file mode 100644 index 0000000..5c9b298 --- /dev/null +++ b/Llama-3.2-3B-Promptist-Mini.Q5_K_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bc8ee82906371ef28db95727f9c83f33c3360b0c66f3e22120c9a8c811aefe7b +size 2322154304 diff --git a/Llama-3.2-3B-Promptist-Mini.Q8_0.gguf b/Llama-3.2-3B-Promptist-Mini.Q8_0.gguf new file mode 100644 index 0000000..23a0360 --- /dev/null +++ b/Llama-3.2-3B-Promptist-Mini.Q8_0.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1b2af3090ca74ad2c25ea299a24330f346b5420004ce01e54253c3742a3aef91 +size 3421899584 diff --git a/Modelfile b/Modelfile new file mode 100644 index 0000000..93a141e --- /dev/null +++ b/Modelfile @@ -0,0 +1,57 @@ + +FROM /content/prithivMLmods/Llama-3.2-3B-Promptist-Mini-GGUF/Llama-3.2-3B-Promptist-Mini.F16.gguf +TEMPLATE """{{ if .Messages }} +{{- if or .System .Tools }}<|start_header_id|>system<|end_header_id|> +{{- if .System }} + +{{ .System }} +{{- end }} +{{- if .Tools }} + +You are a helpful assistant with tool calling capabilities. When you receive a tool call response, use the output to format an answer to the original use question. +{{- end }} +{{- 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. + +{{ $.Tools }} +{{- end }} + +{{ .Content }}<|eot_id|>{{ 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 }}{{ if not $last }}<|eot_id|>{{ end }} +{{- 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 }} +{{- else }} +{{- if .System }}<|start_header_id|>system<|end_header_id|> + +{{ .System }}<|eot_id|>{{ end }}{{ if .Prompt }}<|start_header_id|>user<|end_header_id|> + +{{ .Prompt }}<|eot_id|>{{ end }}<|start_header_id|>assistant<|end_header_id|> + +{{ end }}{{ .Response }}{{ if .Response }}<|eot_id|>{{ end }}""" +PARAMETER stop "<|start_header_id|>" +PARAMETER stop "<|end_header_id|>" +PARAMETER stop "<|eot_id|>" +PARAMETER stop "<|eom_id|>" +PARAMETER temperature 1.5 +PARAMETER min_p 0.1 \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..52cbf6e --- /dev/null +++ b/README.md @@ -0,0 +1,165 @@ +--- +license: creativeml-openrail-m +datasets: +- prithivMLmods/Prompt-Enhancement-Mini +language: +- en +base_model: +- prithivMLmods/Llama-3.2-3B-Promptist-Mini +pipeline_tag: text-generation +tags: +- Llama +- Ollama +- pytorch +- safetensors +- long_prompt +- prompt_enhancement +- short_prompt +--- + +### **Llama-3.2-3B-Promptist-Mini-GGUF Model Files** + +The **Llama-3.2-3B-Promptist-Mini** is a fine-tuned version of the **Llama-3.2-3B-Instruct** model, specifically optimized for prompt engineering and enhancement tasks. It is ideal for generating and enhancing various types of text prompts, offering high performance in creative and instructional applications. The model leverages a smaller, more efficient architecture suited for fine-tuning and prompt-based use cases. + + +| File Name | Size | Description | Upload Status | +|------------------------------------------------|------------|------------------------------------------------|----------------| +| `.gitattributes` | 1.82 kB | Git attributes configuration file | Uploaded | +| `README.md` | 286 Bytes | Updated README file | Updated | +| `config.json` | 29 Bytes | Model configuration settings | Uploaded | +| `Llama-3.2-3B-Promptist-Mini.F16.gguf` | 6.43 GB | Full model weights in F16 format | Uploaded (LFS) | +| `Llama-3.2-3B-Promptist-Mini.Q4_K_M.gguf` | 2.02 GB | Quantized model weights (Q4_K_M) | Uploaded (LFS) | +| `Llama-3.2-3B-Promptist-Mini.Q5_K_M.gguf` | 2.32 GB | Quantized model weights (Q5_K_M) | Uploaded (LFS) | +| `Llama-3.2-3B-Promptist-Mini.Q8_0.gguf` | 3.42 GB | Quantized model weights (Q8_0) | Uploaded (LFS) | +| `Modelfile` | 1.98 kB | Model metadata or configuration | Uploaded | + +![Screenshot 2024-12-04 161304.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/2E_LNf0mGFUjab55O1AfV.png) + +--- + +### **Key Features:** + +1. **Prompt Engineering and Enhancement:** + This model is fine-tuned to generate and improve prompts for various applications, such as question generation, creative writing, and instruction-following tasks. + +2. **Text Generation:** + It excels in generating coherent and contextually relevant text based on the given prompts. The model can be used for a wide range of text-based applications, including content creation and automated text generation. + +3. **Custom Tokenizer:** + Includes a tokenizer optimized for handling specialized tokens related to prompt-based tasks, ensuring the model performs well in generating creative and logical text. + +--- + +### **Training Details:** +- **Base Model:** [Llama-3.2-3B-Instruct](#) +- **Dataset:** Trained on **Prompt-Enhancement-Mini**, a dataset specifically designed to enhance prompt generation, with examples tailored to creative and instructional contexts. + +--- + +### **Capabilities:** +- **Prompt Generation and Enhancement:** + The model can generate and enhance prompts for various tasks, including machine learning, creative writing, and instructional content. + +- **Text Generation:** + It excels at generating coherent, structured, and contextually appropriate text from user inputs, making it suitable for a wide variety of text-based applications. + +--- + +### **Usage Instructions:** +1. **Model Setup:** Download all model files and ensure the PyTorch model weights and tokenizer configurations are included. +2. **Inference:** Load the model in a Python environment using frameworks like PyTorch or Hugging Face's Transformers. +3. **Customization:** Configure the model with the `config.json` and `generation_config.json` files for optimal performance during inference. + +--- +# Run with Ollama [ Ollama Run ] + +## Overview + +Ollama is a powerful tool that allows you to run machine learning models effortlessly. This guide will help you download, install, and run your own GGUF models in just a few minutes. + +## Table of Contents + +- [Download and Install Ollama](#download-and-install-ollama) +- [Steps to Run GGUF Models](#steps-to-run-gguf-models) + - [1. Create the Model File](#1-create-the-model-file) + - [2. Add the Template Command](#2-add-the-template-command) + - [3. Create and Patch the Model](#3-create-and-patch-the-model) +- [Running the Model](#running-the-model) +- [Sample Usage](#sample-usage) + +## Download and Install Ollama🦙 + +To get started, download Ollama from [https://ollama.com/download](https://ollama.com/download) and install it on your Windows or Mac system. + +## Steps to Run GGUF Models + +### 1. Create the Model File +First, create a model file and name it appropriately. For example, you can name your model file `metallama`. + +### 2. Add the Template Command +In your model file, include a `FROM` line that specifies the base model file you want to use. For instance: + +```bash +FROM Llama-3.2-1B.F16.gguf +``` + +Ensure that the model file is in the same directory as your script. + +### 3. Create and Patch the Model +Open your terminal and run the following command to create and patch your model: + +```bash +ollama create metallama -f ./metallama +``` + +Once the process is successful, you will see a confirmation message. + +To verify that the model was created successfully, you can list all models with: + +```bash +ollama list +``` + +Make sure that `metallama` appears in the list of models. + +--- + +## Running the Model + +To run your newly created model, use the following command in your terminal: + +```bash +ollama run metallama +``` + +### Sample Usage / Test + +In the command prompt, you can execute: + +```bash +D:\>ollama run metallama +``` + +You can interact with the model like this: + +```plaintext +>>> write a mini passage about space x +Space X, the private aerospace company founded by Elon Musk, is revolutionizing the field of space exploration. +With its ambitious goals to make humanity a multi-planetary species and establish a sustainable human presence in +the cosmos, Space X has become a leading player in the industry. The company's spacecraft, like the Falcon 9, have +demonstrated remarkable capabilities, allowing for the transport of crews and cargo into space with unprecedented +efficiency. As technology continues to advance, the possibility of establishing permanent colonies on Mars becomes +increasingly feasible, thanks in part to the success of reusable rockets that can launch multiple times without +sustaining significant damage. The journey towards becoming a multi-planetary species is underway, and Space X +plays a pivotal role in pushing the boundaries of human exploration and settlement. +``` +--- + +## Conclusion + +With these simple steps, you can easily download, install, and run your own models using Ollama. Whether you're exploring the capabilities of Llama or building your own custom models, Ollama makes it accessible and efficient. + + +- This README provides clear instructions and structured information to help users navigate the process of using Ollama effectively. Adjust any sections as needed based on your specific requirements or additional details you may want to include. + +--- \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..a4ba21b --- /dev/null +++ b/config.json @@ -0,0 +1,3 @@ +{ + "model_type": "llama" +} \ No newline at end of file diff --git a/configuration.json b/configuration.json new file mode 100644 index 0000000..bbeeda1 --- /dev/null +++ b/configuration.json @@ -0,0 +1 @@ +{"framework": "pytorch", "task": "text-generation", "allow_remote": true} \ No newline at end of file