Text Generation
GGUF
qwen2
the-rock8
rock8
rdna4
gfx1201
radeon-ai-pro-r9700
rx-9070
fp8
f8e4m3
quark
amd
rocm
llama.cpp
quantized
reasoning
deepseek-r1
conversational
Instructions to use Gorilla4X/Quacken-R1-14B-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use Gorilla4X/Quacken-R1-14B-FP8 with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Gorilla4X/Quacken-R1-14B-FP8", filename="DeepSeek-R1-Distill-Qwen-14B-Quark-F8E4M3.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Gorilla4X/Quacken-R1-14B-FP8 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 Gorilla4X/Quacken-R1-14B-FP8 # Run inference directly in the terminal: llama cli -hf Gorilla4X/Quacken-R1-14B-FP8
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Gorilla4X/Quacken-R1-14B-FP8 # Run inference directly in the terminal: llama cli -hf Gorilla4X/Quacken-R1-14B-FP8
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 Gorilla4X/Quacken-R1-14B-FP8 # Run inference directly in the terminal: ./llama-cli -hf Gorilla4X/Quacken-R1-14B-FP8
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 Gorilla4X/Quacken-R1-14B-FP8 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Gorilla4X/Quacken-R1-14B-FP8
Use Docker
docker model run hf.co/Gorilla4X/Quacken-R1-14B-FP8
- LM Studio
- Jan
- vLLM
How to use Gorilla4X/Quacken-R1-14B-FP8 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Gorilla4X/Quacken-R1-14B-FP8" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Gorilla4X/Quacken-R1-14B-FP8", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Gorilla4X/Quacken-R1-14B-FP8
- Ollama
How to use Gorilla4X/Quacken-R1-14B-FP8 with Ollama:
ollama run hf.co/Gorilla4X/Quacken-R1-14B-FP8
- Unsloth Studio
How to use Gorilla4X/Quacken-R1-14B-FP8 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 Gorilla4X/Quacken-R1-14B-FP8 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 Gorilla4X/Quacken-R1-14B-FP8 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Gorilla4X/Quacken-R1-14B-FP8 to start chatting
- Atomic Chat new
- Docker Model Runner
How to use Gorilla4X/Quacken-R1-14B-FP8 with Docker Model Runner:
docker model run hf.co/Gorilla4X/Quacken-R1-14B-FP8
- Lemonade
How to use Gorilla4X/Quacken-R1-14B-FP8 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Gorilla4X/Quacken-R1-14B-FP8
Run and chat with the model
lemonade run user.Quacken-R1-14B-FP8-{{QUANT_TAG}}List all available models
lemonade list
| { | |
| "_name_or_path": "deepseek-ai/DeepSeek-R1-Distill-Qwen-14B", | |
| "architectures": [ | |
| "Qwen2ForCausalLM" | |
| ], | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 151646, | |
| "eos_token_id": 151643, | |
| "hidden_act": "silu", | |
| "hidden_size": 5120, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 13824, | |
| "max_position_embeddings": 131072, | |
| "max_window_layers": 48, | |
| "model_type": "qwen2", | |
| "num_attention_heads": 40, | |
| "num_hidden_layers": 48, | |
| "num_key_value_heads": 8, | |
| "pad_token_id": 151654, | |
| "rms_norm_eps": 1e-05, | |
| "rope_scaling": null, | |
| "rope_theta": 1000000.0, | |
| "sliding_window": null, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.49.0.dev0", | |
| "unsloth_fixed": true, | |
| "use_cache": true, | |
| "use_sliding_window": false, | |
| "vocab_size": 152064, | |
| "quantization_config": { | |
| "global_quant_config": { | |
| "input_tensors": null, | |
| "output_tensors": null, | |
| "weight": { | |
| "dtype": "fp8_e4m3", | |
| "is_dynamic": false, | |
| "qscheme": "per_channel", | |
| "ch_axis": 0, | |
| "group_size": null, | |
| "block_size": null, | |
| "symmetric": true, | |
| "round_method": "half_even", | |
| "scale_type": "float", | |
| "scale_format": null, | |
| "scale_calculation_mode": null, | |
| "mx_element_dtype": null, | |
| "observer_cls": "PerChannelMinMaxObserver", | |
| "is_scale_quant": false, | |
| "enable_buffer_reuse": false, | |
| "max_input_numel": 4194304 | |
| }, | |
| "bias": null, | |
| "target_device": null | |
| }, | |
| "exclude": [ | |
| "lm_head" | |
| ], | |
| "algo_config": null, | |
| "softmax_quant_spec": null, | |
| "quant_method": "fp8", | |
| "layer_type_quant_config": {}, | |
| "layer_quant_config": {}, | |
| "kv_cache_quant_config": {}, | |
| "kv_cache_post_rope": false, | |
| "quant_mode": "eager_mode", | |
| "version": "0.12.post1", | |
| "export": { | |
| "kv_cache_group": [], | |
| "min_kv_scale": 0.0, | |
| "pack_method": "reorder", | |
| "weight_format": "real_quantized", | |
| "weight_merge_groups": null | |
| } | |
| } | |
| } |