GGUF
English
Chinese
multimodal
vision-language
audio
agent
video-understanding
long-context
abliterated
uncensored
GGUF
conversational
Instructions to use huihui-ai/Huihui-Qwable-3.6-27b-abliterated-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use huihui-ai/Huihui-Qwable-3.6-27b-abliterated-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="huihui-ai/Huihui-Qwable-3.6-27b-abliterated-GGUF", filename="Huihui-Qwable-3.6-27b-abliterated-Q4_K_M_F16.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 huihui-ai/Huihui-Qwable-3.6-27b-abliterated-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 huihui-ai/Huihui-Qwable-3.6-27b-abliterated-GGUF:Q4_K_M_F # Run inference directly in the terminal: llama cli -hf huihui-ai/Huihui-Qwable-3.6-27b-abliterated-GGUF:Q4_K_M_F
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf huihui-ai/Huihui-Qwable-3.6-27b-abliterated-GGUF:Q4_K_M_F # Run inference directly in the terminal: llama cli -hf huihui-ai/Huihui-Qwable-3.6-27b-abliterated-GGUF:Q4_K_M_F
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 huihui-ai/Huihui-Qwable-3.6-27b-abliterated-GGUF:Q4_K_M_F # Run inference directly in the terminal: ./llama-cli -hf huihui-ai/Huihui-Qwable-3.6-27b-abliterated-GGUF:Q4_K_M_F
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 huihui-ai/Huihui-Qwable-3.6-27b-abliterated-GGUF:Q4_K_M_F # Run inference directly in the terminal: ./build/bin/llama-cli -hf huihui-ai/Huihui-Qwable-3.6-27b-abliterated-GGUF:Q4_K_M_F
Use Docker
docker model run hf.co/huihui-ai/Huihui-Qwable-3.6-27b-abliterated-GGUF:Q4_K_M_F
- LM Studio
- Jan
- Ollama
How to use huihui-ai/Huihui-Qwable-3.6-27b-abliterated-GGUF with Ollama:
ollama run hf.co/huihui-ai/Huihui-Qwable-3.6-27b-abliterated-GGUF:Q4_K_M_F
- Unsloth Studio
How to use huihui-ai/Huihui-Qwable-3.6-27b-abliterated-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 huihui-ai/Huihui-Qwable-3.6-27b-abliterated-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 huihui-ai/Huihui-Qwable-3.6-27b-abliterated-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for huihui-ai/Huihui-Qwable-3.6-27b-abliterated-GGUF to start chatting
- Pi
How to use huihui-ai/Huihui-Qwable-3.6-27b-abliterated-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf huihui-ai/Huihui-Qwable-3.6-27b-abliterated-GGUF:Q4_K_M_F
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "huihui-ai/Huihui-Qwable-3.6-27b-abliterated-GGUF:Q4_K_M_F" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use huihui-ai/Huihui-Qwable-3.6-27b-abliterated-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf huihui-ai/Huihui-Qwable-3.6-27b-abliterated-GGUF:Q4_K_M_F
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default huihui-ai/Huihui-Qwable-3.6-27b-abliterated-GGUF:Q4_K_M_F
Run Hermes
hermes
- Atomic Chat new
- Docker Model Runner
How to use huihui-ai/Huihui-Qwable-3.6-27b-abliterated-GGUF with Docker Model Runner:
docker model run hf.co/huihui-ai/Huihui-Qwable-3.6-27b-abliterated-GGUF:Q4_K_M_F
- Lemonade
How to use huihui-ai/Huihui-Qwable-3.6-27b-abliterated-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull huihui-ai/Huihui-Qwable-3.6-27b-abliterated-GGUF:Q4_K_M_F
Run and chat with the model
lemonade run user.Huihui-Qwable-3.6-27b-abliterated-GGUF-Q4_K_M_F
List all available models
lemonade list
Update README.md
Browse files
README.md
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| `Huihui-Qwable-3.6-27b-abliterated-Q4_K_M_Q8.gguf` | 18.3 GiB | `(ffn_down|ssm_out|ffn_down` (Q8_0) | `(ffn_gate|ssm_out|ffn_up)` (Q4_K), `(attn_v|attn_qkv()` (Q6_K) |
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| `Huihui-Qwable-3.6-27b-abliterated-Q4_K_M_F16.gguf` | 25.0 GiB | `(ffn_down|ssm_out|ffn_down` (F16) | `(ffn_gate|ssm_out|ffn_up)` (Q4_K), `(attn_v|attn_qkv)` (Q6_K) |
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| `Huihui-Qwable-3.6-27b-abliterated-F16.gguf` | 50.1 GiB | `(ffn_down|ssm_out|ffn_down` (F16) | `(ffn_gate|ssm_out|ffn_up)` (F16) , `(attn_v|attn_qkv)` (F16) |
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### Usage Warnings
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| File | Size | Routed experts (`ffn_down|ssm_out|ffn_down)`) | Everything else |
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| `Huihui-Qwable-3.6-27b-abliterated-Q4_K_M_Q8.gguf` | 18.3 GiB | `(ffn_down|ssm_out|ffn_down)` (Q8_0) | `(ffn_gate|ssm_out|ffn_up)` (Q4_K), `(attn_v|attn_qkv()` (Q6_K) |
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| `Huihui-Qwable-3.6-27b-abliterated-Q4_K_M_F16.gguf` | 25.0 GiB | `(ffn_down|ssm_out|ffn_down)` (F16) | `(ffn_gate|ssm_out|ffn_up)` (Q4_K), `(attn_v|attn_qkv)` (Q6_K) |
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| `Huihui-Qwable-3.6-27b-abliterated-F16.gguf` | 50.1 GiB | `(ffn_down|ssm_out|ffn_down)` (F16) | `(ffn_gate|ssm_out|ffn_up)` (F16) , `(attn_v|attn_qkv)` (F16) |
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### Usage Warnings
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