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---
library_name: transformers
license: apache-2.0
datasets:
- nbeerbower/GreatFirewall-DPO
- nbeerbower/Schule-DPO
- nbeerbower/Purpura-DPO
- nbeerbower/Arkhaios-DPO
- jondurbin/truthy-dpo-v0.1
- antiven0m/physical-reasoning-dpo
- flammenai/Date-DPO-NoAsterisks
- flammenai/Prude-Phi3-DPO
- Atsunori/HelpSteer2-DPO
- jondurbin/gutenberg-dpo-v0.1
- nbeerbower/gutenberg2-dpo
- nbeerbower/gutenberg-moderne-dpo
base_model: nbeerbower/Dumpling-Qwen2.5-14B
tags:
- llama-cpp
- gguf-my-repo
---
# Triangle104/Dumpling-Qwen2.5-14B-Q4_K_S-GGUF
This model was converted to GGUF format from [`nbeerbower/Dumpling-Qwen2.5-14B`](https://huggingface.co/nbeerbower/Dumpling-Qwen2.5-14B) 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/nbeerbower/Dumpling-Qwen2.5-14B) for more details on the model.
---
nbeerbower/EVA-abliterated-TIES-Qwen2.5-14B finetuned on:
nbeerbower/GreatFirewall-DPO
nbeerbower/Schule-DPO
nbeerbower/Purpura-DPO
nbeerbower/Arkhaios-DPO
jondurbin/truthy-dpo-v0.1
antiven0m/physical-reasoning-dpo
flammenai/Date-DPO-NoAsterisks
flammenai/Prude-Phi3-DPO
Atsunori/HelpSteer2-DPO
jondurbin/gutenberg-dpo-v0.1
nbeerbower/gutenberg2-dpo
nbeerbower/gutenberg-moderne-dpo.
Method
QLoRA ORPO tuned with 4x H100 for 2 epochs.
---
## 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/Dumpling-Qwen2.5-14B-Q4_K_S-GGUF --hf-file dumpling-qwen2.5-14b-q4_k_s.gguf -p "The meaning to life and the universe is"
```
### Server:
```bash
llama-server --hf-repo Triangle104/Dumpling-Qwen2.5-14B-Q4_K_S-GGUF --hf-file dumpling-qwen2.5-14b-q4_k_s.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/Dumpling-Qwen2.5-14B-Q4_K_S-GGUF --hf-file dumpling-qwen2.5-14b-q4_k_s.gguf -p "The meaning to life and the universe is"
```
or
```
./llama-server --hf-repo Triangle104/Dumpling-Qwen2.5-14B-Q4_K_S-GGUF --hf-file dumpling-qwen2.5-14b-q4_k_s.gguf -c 2048
```
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