File size: 5,279 Bytes
af9180b 9aa4cd5 af9180b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 |
---
base_model: Spestly/Ava-1.5-12B
tags:
- text-generation-inference
- transformers
- unsloth
- mistral
- trl
- llama-cpp
- gguf-my-repo
license: apache-2.0
language:
- en
library_name: transformers
---
# Triangle104/Ava-1.5-12B-Q8_0-GGUF
This model was converted to GGUF format from [`Spestly/Ava-1.5-12B`](https://huggingface.co/Spestly/Ava-1.5-12B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/Spestly/Ava-1.5-12B) for more details on the model.
---
Model details:
-
Ava 1.5
Ava 1.5 is a cutting-edge conversational AI model, fine-tuned from Ava 1.0 to deliver exceptional conversational capabilities. Designed to be your go-to AI for engaging, accurate, and context-aware dialogues, Ava 1.5 incorporates updated knowledge and enhanced natural language understanding to provide an unparalleled user experience.
Key Features
-
Enhanced Conversational Skills: Ava 1.5 demonstrates fluid and human-like dialogue generation with improved contextual understanding.
Updated Knowledge Base: Trained on the latest datasets, Ava 1.0 ensures responses are relevant and informed.
Multi-Turn Conversation: Handles complex, multi-turn interactions seamlessly, maintaining coherence and focus.
Personalized Assistance: Adapts responses based on user preferences and context.
Multilingual Support: Capable of understanding and responding in multiple languages with high accuracy.
Why Ava 1.5?
-
Ava 1.5 is built to excel in a wide range of applications:
Customer Support: Provides intelligent, empathetic, and accurate responses to customer queries.
Education: Acts as an interactive tutor, offering explanations and personalized guidance.
Personal Assistance: Supports daily tasks, scheduling, and answering general queries with ease.
Creative Collaboration: Assists with brainstorming, writing, and other creative processes.
Usage
-
Using Ava 1.5 in your project is straightforward. Here’s a quick setup guide:
Installation
-
Ensure you have the necessary libraries and dependencies installed. Use the following command:
pip install transformers
Implementation
-
Here’s a sample Python script to interact with Ava 1.5:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="Spestly/Ava-1.5-12B")
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("Spestly/Ava-1.5-12B")
model = AutoModelForCausalLM.from_pretrained("Spestly/Ava-1.5-12B")
Training Highlights
-
Ava 1.5 was fine-tuned with the following enhancements:
Extensive Conversational Dataset: Leveraging a wide array of open-domain and specialized conversational datasets.
Knowledge Integration: Incorporating recent advancements and updates to provide cutting-edge insights.
Fine-Tuning on Ava 1.0: Utilizing the powerful Ava 1.0 model to further refine and expand upon the model's ability to perform tasks!
Limitations
-
Contextual Challenges: In rare cases, Ava 1.0 may misinterpret ambiguous inputs.
Hardware Requirements: Optimal performance requires a robust system with GPU acceleration.
Roadmap
-
Ava 2.0: Introducing real-time learning capabilities and broader conversational adaptability.
Lightweight Model: Developing a lightweight version optimized for edge devices.
Domain-Specific Fine-Tunes: Specialized versions for industries like healthcare, education, and finance.
Contributing
-
We welcome contributions to enhance Ava! Here’s how you can get involved:
Fork this repository.
Create a feature branch.
Submit a pull request with detailed explanations of your changes.
License
-
Ava 1.5 is released under Apache 2.0 License. Please review the LICENSE file for more details.
Contact
-
For inquiries, feedback, or support, feel free to reach out:
Email: [email protected]
GitHub: Spestly
Website: Ava Project Page
---
## Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)
```bash
brew install llama.cpp
```
Invoke the llama.cpp server or the CLI.
### CLI:
```bash
llama-cli --hf-repo Triangle104/Ava-1.5-12B-Q8_0-GGUF --hf-file ava-1.5-12b-q8_0.gguf -p "The meaning to life and the universe is"
```
### Server:
```bash
llama-server --hf-repo Triangle104/Ava-1.5-12B-Q8_0-GGUF --hf-file ava-1.5-12b-q8_0.gguf -c 2048
```
Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
Step 1: Clone llama.cpp from GitHub.
```
git clone https://github.com/ggerganov/llama.cpp
```
Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
```
cd llama.cpp && LLAMA_CURL=1 make
```
Step 3: Run inference through the main binary.
```
./llama-cli --hf-repo Triangle104/Ava-1.5-12B-Q8_0-GGUF --hf-file ava-1.5-12b-q8_0.gguf -p "The meaning to life and the universe is"
```
or
```
./llama-server --hf-repo Triangle104/Ava-1.5-12B-Q8_0-GGUF --hf-file ava-1.5-12b-q8_0.gguf -c 2048
```
|