Instructions to use mradermacher/fc-dolphin-2.6-mistral-7b-dpo-laser-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/fc-dolphin-2.6-mistral-7b-dpo-laser-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/fc-dolphin-2.6-mistral-7b-dpo-laser-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use mradermacher/fc-dolphin-2.6-mistral-7b-dpo-laser-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 mradermacher/fc-dolphin-2.6-mistral-7b-dpo-laser-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/fc-dolphin-2.6-mistral-7b-dpo-laser-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf mradermacher/fc-dolphin-2.6-mistral-7b-dpo-laser-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/fc-dolphin-2.6-mistral-7b-dpo-laser-GGUF:Q4_K_M
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 mradermacher/fc-dolphin-2.6-mistral-7b-dpo-laser-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf mradermacher/fc-dolphin-2.6-mistral-7b-dpo-laser-GGUF:Q4_K_M
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 mradermacher/fc-dolphin-2.6-mistral-7b-dpo-laser-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf mradermacher/fc-dolphin-2.6-mistral-7b-dpo-laser-GGUF:Q4_K_M
Use Docker
docker model run hf.co/mradermacher/fc-dolphin-2.6-mistral-7b-dpo-laser-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use mradermacher/fc-dolphin-2.6-mistral-7b-dpo-laser-GGUF with Ollama:
ollama run hf.co/mradermacher/fc-dolphin-2.6-mistral-7b-dpo-laser-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use mradermacher/fc-dolphin-2.6-mistral-7b-dpo-laser-GGUF with Docker Model Runner:
docker model run hf.co/mradermacher/fc-dolphin-2.6-mistral-7b-dpo-laser-GGUF:Q4_K_M
- Lemonade
How to use mradermacher/fc-dolphin-2.6-mistral-7b-dpo-laser-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mradermacher/fc-dolphin-2.6-mistral-7b-dpo-laser-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.fc-dolphin-2.6-mistral-7b-dpo-laser-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
uploaded from marco
Browse files
.gitattributes
CHANGED
|
@@ -40,3 +40,4 @@ fc-dolphin-2.6-mistral-7b-dpo-laser.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -t
|
|
| 40 |
fc-dolphin-2.6-mistral-7b-dpo-laser.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
|
| 41 |
fc-dolphin-2.6-mistral-7b-dpo-laser.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
|
| 42 |
fc-dolphin-2.6-mistral-7b-dpo-laser.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 40 |
fc-dolphin-2.6-mistral-7b-dpo-laser.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
|
| 41 |
fc-dolphin-2.6-mistral-7b-dpo-laser.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
|
| 42 |
fc-dolphin-2.6-mistral-7b-dpo-laser.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
|
| 43 |
+
fc-dolphin-2.6-mistral-7b-dpo-laser.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
|
fc-dolphin-2.6-mistral-7b-dpo-laser.Q4_K_M.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ccf6e4e6951cc60af638e219f6f5e83d7e13e88d61b96d44d1f64750aacf9bcc
|
| 3 |
+
size 4368445536
|