GGUF
German
English
Merge
mergekit
lazymergekit
DiscoResearch/DiscoLM_German_7b_v1
DRXD1000/Phoenix
VAGOsolutions/SauerkrautLM-7b-v1-mistral
malteos/hermeo-7b
llama-cpp
gguf-my-repo
conversational
Instructions to use newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF", filename="Wiedervereinigung-7b-dpo.Q6_K.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF:Q6_K # Run inference directly in the terminal: llama cli -hf newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF:Q6_K
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF:Q6_K # Run inference directly in the terminal: llama cli -hf newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF:Q6_K
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF:Q6_K # Run inference directly in the terminal: ./llama-cli -hf newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF:Q6_K
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF:Q6_K # Run inference directly in the terminal: ./build/bin/llama-cli -hf newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF:Q6_K
Use Docker
docker model run hf.co/newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF:Q6_K
- LM Studio
- Jan
- Ollama
How to use newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF with Ollama:
ollama run hf.co/newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF:Q6_K
- Unsloth Studio
How to use newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF to start chatting
- Atomic Chat new
- Docker Model Runner
How to use newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF with Docker Model Runner:
docker model run hf.co/newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF:Q6_K
- Lemonade
How to use newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF:Q6_K
Run and chat with the model
lemonade run user.Wiedervereinigung-7b-dpo-Q6_K-GGUF-Q6_K
List all available models
lemonade list
Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -13,39 +13,49 @@ tags:
|
|
| 13 |
- malteos/hermeo-7b
|
| 14 |
- llama-cpp
|
| 15 |
- gguf-my-repo
|
| 16 |
-
base_model:
|
| 17 |
-
- DiscoResearch/DiscoLM_German_7b_v1
|
| 18 |
-
- DRXD1000/Phoenix
|
| 19 |
-
- VAGOsolutions/SauerkrautLM-7b-v1-mistral
|
| 20 |
-
- malteos/hermeo-7b
|
| 21 |
---
|
| 22 |
|
| 23 |
# newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF
|
| 24 |
This model was converted to GGUF format from [`mayflowergmbh/Wiedervereinigung-7b-dpo`](https://huggingface.co/mayflowergmbh/Wiedervereinigung-7b-dpo) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
|
| 25 |
Refer to the [original model card](https://huggingface.co/mayflowergmbh/Wiedervereinigung-7b-dpo) for more details on the model.
|
| 26 |
-
## Use with llama.cpp
|
| 27 |
|
| 28 |
-
|
|
|
|
| 29 |
|
| 30 |
```bash
|
| 31 |
-
brew install
|
|
|
|
| 32 |
```
|
| 33 |
Invoke the llama.cpp server or the CLI.
|
| 34 |
|
| 35 |
-
CLI:
|
| 36 |
-
|
| 37 |
```bash
|
| 38 |
-
llama
|
| 39 |
```
|
| 40 |
|
| 41 |
-
Server:
|
| 42 |
-
|
| 43 |
```bash
|
| 44 |
-
llama-server --hf-repo newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF --
|
| 45 |
```
|
| 46 |
|
| 47 |
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.
|
| 48 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 49 |
```
|
| 50 |
-
|
| 51 |
```
|
|
|
|
| 13 |
- malteos/hermeo-7b
|
| 14 |
- llama-cpp
|
| 15 |
- gguf-my-repo
|
| 16 |
+
base_model: mayflowergmbh/Wiedervereinigung-7b-dpo
|
|
|
|
|
|
|
|
|
|
|
|
|
| 17 |
---
|
| 18 |
|
| 19 |
# newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF
|
| 20 |
This model was converted to GGUF format from [`mayflowergmbh/Wiedervereinigung-7b-dpo`](https://huggingface.co/mayflowergmbh/Wiedervereinigung-7b-dpo) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
|
| 21 |
Refer to the [original model card](https://huggingface.co/mayflowergmbh/Wiedervereinigung-7b-dpo) for more details on the model.
|
|
|
|
| 22 |
|
| 23 |
+
## Use with llama.cpp
|
| 24 |
+
Install llama.cpp through brew (works on Mac and Linux)
|
| 25 |
|
| 26 |
```bash
|
| 27 |
+
brew install llama.cpp
|
| 28 |
+
|
| 29 |
```
|
| 30 |
Invoke the llama.cpp server or the CLI.
|
| 31 |
|
| 32 |
+
### CLI:
|
|
|
|
| 33 |
```bash
|
| 34 |
+
llama --hf-repo newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF --hf-file wiedervereinigung-7b-dpo-q6_k.gguf -p "The meaning to life and the universe is"
|
| 35 |
```
|
| 36 |
|
| 37 |
+
### Server:
|
|
|
|
| 38 |
```bash
|
| 39 |
+
llama-server --hf-repo newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF --hf-file wiedervereinigung-7b-dpo-q6_k.gguf -c 2048
|
| 40 |
```
|
| 41 |
|
| 42 |
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.
|
| 43 |
|
| 44 |
+
Step 1: Clone llama.cpp from GitHub.
|
| 45 |
+
```
|
| 46 |
+
git clone https://github.com/ggerganov/llama.cpp
|
| 47 |
+
```
|
| 48 |
+
|
| 49 |
+
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).
|
| 50 |
+
```
|
| 51 |
+
cd llama.cpp && LLAMA_CURL=1 make
|
| 52 |
+
```
|
| 53 |
+
|
| 54 |
+
Step 3: Run inference through the main binary.
|
| 55 |
+
```
|
| 56 |
+
./main --hf-repo newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF --hf-file wiedervereinigung-7b-dpo-q6_k.gguf -p "The meaning to life and the universe is"
|
| 57 |
+
```
|
| 58 |
+
or
|
| 59 |
```
|
| 60 |
+
./server --hf-repo newsletter/Wiedervereinigung-7b-dpo-Q6_K-GGUF --hf-file wiedervereinigung-7b-dpo-q6_k.gguf -c 2048
|
| 61 |
```
|