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---
base_model: Nekochu/Llama-2-13B-German-ORPO
datasets:
- mayflowergmbh/intel_orca_dpo_pairs_de
- LeoLM/OpenSchnabeltier
- LeoLM/German_Songs
- LeoLM/German_Poems
- bjoernp/ultrachat_de
- mayflowergmbh/ultra-chat_de
- mayflowergmbh/airoboros-3.0_de
- mayflowergmbh/booksum_de
- mayflowergmbh/dolphin_de
- mayflowergmbh/evol-instruct_de
- mayflowergmbh/openschnabeltier_de
- mayflowergmbh/alpaca-gpt4_de
- mayflowergmbh/dolly-15k_de
- mayflowergmbh/oasst_de
language:
- de
- en
library_name: peft
license: apache-2.0
pipeline_tag: text-generation
tags:
- llama-factory
- lora
- generated_from_trainer
- llama2
- llama
- instruct
- finetune
- llm
- pytorch
- llama-2
- german
- deutsch
- llama-cpp
- gguf-my-repo
model_creator: Nekochu
quantized_by: Nekochu
pretty_name: Llama-2 13B German ORPO
model_type: llama2
prompt_template: 'Below is an instruction that describes a task. Write a response
that appropriately completes the request. ### Instruction: {Instruction} {summary}
### input: {category} ### Response: {prompt}'
task_categories:
- question-answering
- text2text-generation
- conversational
inference: true
model-index:
- name: Llama-2-13B-German-ORPO
results: []
---
# jott1970/Llama-2-13B-German-ORPO-Q4_K_M-GGUF
This model was converted to GGUF format from [`Nekochu/Llama-2-13B-German-ORPO`](https://huggingface.co/Nekochu/Llama-2-13B-German-ORPO) 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/Nekochu/Llama-2-13B-German-ORPO) for more details on the model.
## 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 jott1970/Llama-2-13B-German-ORPO-Q4_K_M-GGUF --hf-file llama-2-13b-german-orpo-q4_k_m.gguf -p "The meaning to life and the universe is"
```
### Server:
```bash
llama-server --hf-repo jott1970/Llama-2-13B-German-ORPO-Q4_K_M-GGUF --hf-file llama-2-13b-german-orpo-q4_k_m.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 jott1970/Llama-2-13B-German-ORPO-Q4_K_M-GGUF --hf-file llama-2-13b-german-orpo-q4_k_m.gguf -p "The meaning to life and the universe is"
```
or
```
./llama-server --hf-repo jott1970/Llama-2-13B-German-ORPO-Q4_K_M-GGUF --hf-file llama-2-13b-german-orpo-q4_k_m.gguf -c 2048
```
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