Instructions to use bartowski/cognitivecomputations_Dolphin3.0-Mistral-24B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use bartowski/cognitivecomputations_Dolphin3.0-Mistral-24B-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 bartowski/cognitivecomputations_Dolphin3.0-Mistral-24B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf bartowski/cognitivecomputations_Dolphin3.0-Mistral-24B-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 bartowski/cognitivecomputations_Dolphin3.0-Mistral-24B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf bartowski/cognitivecomputations_Dolphin3.0-Mistral-24B-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 bartowski/cognitivecomputations_Dolphin3.0-Mistral-24B-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf bartowski/cognitivecomputations_Dolphin3.0-Mistral-24B-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 bartowski/cognitivecomputations_Dolphin3.0-Mistral-24B-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf bartowski/cognitivecomputations_Dolphin3.0-Mistral-24B-GGUF:Q4_K_M
Use Docker
docker model run hf.co/bartowski/cognitivecomputations_Dolphin3.0-Mistral-24B-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use bartowski/cognitivecomputations_Dolphin3.0-Mistral-24B-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "bartowski/cognitivecomputations_Dolphin3.0-Mistral-24B-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "bartowski/cognitivecomputations_Dolphin3.0-Mistral-24B-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/bartowski/cognitivecomputations_Dolphin3.0-Mistral-24B-GGUF:Q4_K_M
- Ollama
How to use bartowski/cognitivecomputations_Dolphin3.0-Mistral-24B-GGUF with Ollama:
ollama run hf.co/bartowski/cognitivecomputations_Dolphin3.0-Mistral-24B-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use bartowski/cognitivecomputations_Dolphin3.0-Mistral-24B-GGUF with Docker Model Runner:
docker model run hf.co/bartowski/cognitivecomputations_Dolphin3.0-Mistral-24B-GGUF:Q4_K_M
- Lemonade
How to use bartowski/cognitivecomputations_Dolphin3.0-Mistral-24B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull bartowski/cognitivecomputations_Dolphin3.0-Mistral-24B-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.cognitivecomputations_Dolphin3.0-Mistral-24B-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Update metadata with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -1,6 +1,23 @@
|
|
| 1 |
---
|
| 2 |
quantized_by: bartowski
|
| 3 |
pipeline_tag: text-generation
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 4 |
---
|
| 5 |
|
| 6 |
## Llamacpp imatrix Quantizations of Dolphin3.0-Mistral-24B by cognitivecomputations
|
|
|
|
| 1 |
---
|
| 2 |
quantized_by: bartowski
|
| 3 |
pipeline_tag: text-generation
|
| 4 |
+
datasets:
|
| 5 |
+
- OpenCoder-LLM/opc-sft-stage1
|
| 6 |
+
- OpenCoder-LLM/opc-sft-stage2
|
| 7 |
+
- microsoft/orca-agentinstruct-1M-v1
|
| 8 |
+
- microsoft/orca-math-word-problems-200k
|
| 9 |
+
- NousResearch/hermes-function-calling-v1
|
| 10 |
+
- AI-MO/NuminaMath-CoT
|
| 11 |
+
- AI-MO/NuminaMath-TIR
|
| 12 |
+
- allenai/tulu-3-sft-mixture
|
| 13 |
+
- cognitivecomputations/dolphin-coder
|
| 14 |
+
- HuggingFaceTB/smoltalk
|
| 15 |
+
- cognitivecomputations/samantha-data
|
| 16 |
+
- m-a-p/CodeFeedback-Filtered-Instruction
|
| 17 |
+
- m-a-p/Code-Feedback
|
| 18 |
+
base_model: cognitivecomputations/Dolphin3.0-Mistral-24B
|
| 19 |
+
language:
|
| 20 |
+
- en
|
| 21 |
---
|
| 22 |
|
| 23 |
## Llamacpp imatrix Quantizations of Dolphin3.0-Mistral-24B by cognitivecomputations
|