Text Generation
Transformers
gemma
chat
dpo
fine-tuning
function-calling
instruct
rlhf
sft
tool-calling
Instructions to use danilopeixoto/pandora-7b-chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danilopeixoto/pandora-7b-chat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="danilopeixoto/pandora-7b-chat")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("danilopeixoto/pandora-7b-chat") model = AutoModelForCausalLM.from_pretrained("danilopeixoto/pandora-7b-chat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use danilopeixoto/pandora-7b-chat with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "danilopeixoto/pandora-7b-chat" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "danilopeixoto/pandora-7b-chat", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/danilopeixoto/pandora-7b-chat
- SGLang
How to use danilopeixoto/pandora-7b-chat with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "danilopeixoto/pandora-7b-chat" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "danilopeixoto/pandora-7b-chat", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "danilopeixoto/pandora-7b-chat" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "danilopeixoto/pandora-7b-chat", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use danilopeixoto/pandora-7b-chat with Docker Model Runner:
docker model run hf.co/danilopeixoto/pandora-7b-chat
add model
Browse files- .gitattributes +1 -0
- GEMMA_LICENSE.md +1 -0
- LICENSE.md +26 -0
- README.md +159 -0
- added_tokens.json +4 -0
- assets/.DS_Store +0 -0
- assets/benchmark.svg +1 -0
- assets/opengpts.png +0 -0
- assets/pandora.jpeg +0 -0
- config.json +82 -0
- model.0.safetensors +3 -0
- model.1.safetensors +3 -0
- model.2.safetensors +3 -0
- model.3.safetensors +3 -0
- special_tokens_map.json +38 -0
- tokenizer.json +3 -0
- tokenizer.model +3 -0
- tokenizer_config.json +73 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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GEMMA_LICENSE.md
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Gemma is provided under and subject to the Gemma Terms of Use found at ai.google.dev/gemma/terms.
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LICENSE.md
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Copyright (c) 2024, Danilo Peixoto Ferreira. All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions are met:
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* Redistributions of source code must retain the above copyright notice, this
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list of conditions and the following disclaimer.
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* Redistributions in binary form must reproduce the above copyright notice,
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this list of conditions and the following disclaimer in the documentation
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and/or other materials provided with the distribution.
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* Neither the name of the copyright holder nor the names of its
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contributors may be used to endorse or promote products derived from
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this software without specific prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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README.md
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---
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license: bsd-3-clause
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---
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| 1 |
---
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| 2 |
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pretty_name: Pandora 7B Chat
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base_model: google/gemma-7b
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datasets:
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- danilopeixoto/pandora-instruct
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- danilopeixoto/pandora-tool-calling
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- danilopeixoto/pandora-rlhf
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task_categories:
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- text-generation
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tags:
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- chat
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- dpo
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- fine-tuning
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- function-calling
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- instruct
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- rlhf
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- sft
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- tool-calling
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license: bsd-3-clause
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---
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# Pandora 7B Chat
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Pandora 7B Chat is a Large Language Model (LLM) designed for chat applications.
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Pandora is fine-tuned with publicly available datasets, including a tool-calling dataset for agent-based tasks and a Reinforcement Learning from Human Feedback (RLHF) dataset with Direct Preference Optimization (DPO) training for preference alignment.
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The fine-tuning process incorporates Low-Rank Adaptation (LoRA) with the [MLX framework](https://ml-explore.github.io/mlx/build/html/index.html), optimized for Apple Silicon.
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The model is based on the [google/gemma-7b](https://huggingface.co/google/gemma-7b) model.
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| 32 |
+

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| 33 |
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## Datasets
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Datasets used for fine-tuning stages:
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- [danilopeixoto/pandora-instruct](https://huggingface.co/datasets/danilopeixoto/pandora-instruct)
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- [danilopeixoto/pandora-tool-calling](https://huggingface.co/datasets/danilopeixoto/pandora-tool-calling)
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| 40 |
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- [danilopeixoto/pandora-rlhf](https://huggingface.co/datasets/danilopeixoto/pandora-rlhf)
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| 41 |
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## Evaluation
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| 43 |
+
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| 44 |
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Evaluation on [MT-Bench](https://arxiv.org/abs/2306.05685) multi-turn benchmark:
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| 45 |
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| 46 |
+

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| 47 |
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## Usage
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| 49 |
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| 50 |
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Install package dependencies:
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| 51 |
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| 52 |
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```shell
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pip install mlx-lm
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| 54 |
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```
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| 55 |
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| 56 |
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Generate response:
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| 57 |
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| 58 |
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```python
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| 59 |
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from mlx_lm import load, generate
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| 60 |
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| 61 |
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|
| 62 |
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model, tokenizer = load('danilopeixoto/pandora-7b-chat')
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| 63 |
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| 64 |
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prompt = '''<|start|>system
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| 65 |
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You are Pandora, a helpful AI assistant.
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<|end|>
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<|start|>user
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Hello!
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<|end|>
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<|start|>'''
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| 71 |
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response = generate(model, tokenizer, prompt)
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print(response)
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```
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| 75 |
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| 76 |
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The model supports the following prompt templates:
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| 78 |
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**Question-answering with system messages**
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| 79 |
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| 80 |
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```txt
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| 81 |
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<|start|>system
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{system_message}
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<|end|>
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<|start|>user
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{user_message}
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| 86 |
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<|end|>
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<|start|>assistant
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| 88 |
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{assistant_message}
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| 89 |
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<|end|>
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```
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| 91 |
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**Tool calling**
|
| 93 |
+
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| 94 |
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```txt
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| 95 |
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<|start|>system
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{system_message}
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| 97 |
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<|end|>
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<|start|>system:tools
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{system_tools_message}
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| 100 |
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<|end|>
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<|start|>user
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{user_message}
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| 103 |
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<|end|>
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<|start|>assistant:tool_calls
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| 105 |
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{assistant_tool_calls_message}
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<|end|>
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<|start|>tool
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{tool_message}
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<|end|>
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<|start|>assistant
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{assistant_message}
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<|end|>
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```
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> **Note** The variables `system_tools_message`, `assistant_tool_calls_message`, and `tool_message` must contain valid YAML.
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An example of a tool-calling prompt:
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```python
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prompt = '''<|start|>system
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You are Pandora, a helpful AI assistant.
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<|end|>
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<|start|>system:tools
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- description: Get the current weather based on a given location.
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name: get_current_weather
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| 126 |
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parameters:
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| 127 |
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type: object
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| 128 |
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properties:
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| 129 |
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location:
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| 130 |
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type: string
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| 131 |
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description: The location name.
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| 132 |
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required:
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| 133 |
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- location
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| 134 |
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<|end|>
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| 135 |
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<|start|>user
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| 136 |
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What is the weather in Sydney, Australia?
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| 137 |
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<|end|>
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| 138 |
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<|start|>assistant:tool_calls
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| 139 |
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- name: get_current_weather
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| 140 |
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arguments:
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| 141 |
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location: Sydney, Australia
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| 142 |
+
<|end|>
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| 143 |
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<|start|>tool
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| 144 |
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name: get_current_weather
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| 145 |
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content: 72°F
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| 146 |
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<|end|>
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| 147 |
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<|start|>'''
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| 148 |
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```
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| 149 |
+
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| 150 |
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## Examples
|
| 151 |
+
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| 152 |
+
**OpenGPTs**
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| 153 |
+
|
| 154 |
+

|
| 155 |
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| 156 |
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## Copyright and license
|
| 157 |
+
|
| 158 |
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Copyright (c) 2024, Danilo Peixoto Ferreira. All rights reserved.
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| 159 |
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|
| 160 |
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Project developed under a [BSD-3-Clause license](LICENSE.md).
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| 161 |
+
|
| 162 |
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Gemma is provided under and subject to the [Gemma Terms of Use license](GEMMA_LICENSE.md).
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added_tokens.json
ADDED
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{
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"<|end|>": 256001,
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"<|start|>": 256000
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}
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assets/.DS_Store
ADDED
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Binary file (6.15 kB). View file
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assets/benchmark.svg
ADDED
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assets/opengpts.png
ADDED
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assets/pandora.jpeg
ADDED
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config.json
ADDED
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@@ -0,0 +1,82 @@
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{
|
| 2 |
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"vocab_size": 256002,
|
| 3 |
+
"max_position_embeddings": 8192,
|
| 4 |
+
"hidden_size": 3072,
|
| 5 |
+
"intermediate_size": 24576,
|
| 6 |
+
"num_hidden_layers": 28,
|
| 7 |
+
"num_attention_heads": 16,
|
| 8 |
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"head_dim": 256,
|
| 9 |
+
"num_key_value_heads": 16,
|
| 10 |
+
"hidden_act": "gelu",
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
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