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---
base_model: aixonlab/Valkyyrie-14b-v1
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
- llama-cpp
- gguf-my-repo
license: apache-2.0
language:
- en
---
# Triangle104/Valkyyrie-14b-v1-Q8_0-GGUF
This model was converted to GGUF format from [`aixonlab/Valkyyrie-14b-v1`](https://huggingface.co/aixonlab/Valkyyrie-14b-v1) 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/aixonlab/Valkyyrie-14b-v1) for more details on the model.
---
Model details:
-
Valkyyrie 14b v1 is a fine-tuned large language model based on Microsoft's Phi-4, further trained to have better conversation capabilities.
Details 📊
Developed by: AIXON Lab
Model type: Causal Language Model
Language(s): English (primarily), may support other languages
License: apache-2.0
Repository: https://huggingface.co/aixonlab/Valkyyrie-14b-v1
Model Architecture 🏗️
Base model: phi-4
Parameter count: ~14 billion
Architecture specifics: Transformer-based language model
Training & Fine-tuning 🔄
Valkyyrie-14b-v1 was fine-tuned to achieve -
Better conversational skills
Better creativity for writing and conversations.
Broader knowledge across various topics
Improved performance on specific tasks like writing, analysis, and problem-solving
Better contextual understanding and response generation
Intended Use 🎯
As an assistant or specific role bot.
Ethical Considerations 🤔
As a fine-tuned model based on phi-4, this model may inherit biases and limitations from its parent model and the fine-tuning dataset. Users should be aware of potential biases in generated content and use the model responsibly.
---
## 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/Valkyyrie-14b-v1-Q8_0-GGUF --hf-file valkyyrie-14b-v1-q8_0.gguf -p "The meaning to life and the universe is"
```
### Server:
```bash
llama-server --hf-repo Triangle104/Valkyyrie-14b-v1-Q8_0-GGUF --hf-file valkyyrie-14b-v1-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/Valkyyrie-14b-v1-Q8_0-GGUF --hf-file valkyyrie-14b-v1-q8_0.gguf -p "The meaning to life and the universe is"
```
or
```
./llama-server --hf-repo Triangle104/Valkyyrie-14b-v1-Q8_0-GGUF --hf-file valkyyrie-14b-v1-q8_0.gguf -c 2048
```
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