Instructions to use DevQuasar/CohereLabs.command-a-reasoning-08-2025-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 DevQuasar/CohereLabs.command-a-reasoning-08-2025-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 DevQuasar/CohereLabs.command-a-reasoning-08-2025-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf DevQuasar/CohereLabs.command-a-reasoning-08-2025-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 DevQuasar/CohereLabs.command-a-reasoning-08-2025-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf DevQuasar/CohereLabs.command-a-reasoning-08-2025-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 DevQuasar/CohereLabs.command-a-reasoning-08-2025-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf DevQuasar/CohereLabs.command-a-reasoning-08-2025-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 DevQuasar/CohereLabs.command-a-reasoning-08-2025-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf DevQuasar/CohereLabs.command-a-reasoning-08-2025-GGUF:Q4_K_M
Use Docker
docker model run hf.co/DevQuasar/CohereLabs.command-a-reasoning-08-2025-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use DevQuasar/CohereLabs.command-a-reasoning-08-2025-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "DevQuasar/CohereLabs.command-a-reasoning-08-2025-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": "DevQuasar/CohereLabs.command-a-reasoning-08-2025-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/DevQuasar/CohereLabs.command-a-reasoning-08-2025-GGUF:Q4_K_M
- Ollama
How to use DevQuasar/CohereLabs.command-a-reasoning-08-2025-GGUF with Ollama:
ollama run hf.co/DevQuasar/CohereLabs.command-a-reasoning-08-2025-GGUF:Q4_K_M
- Unsloth Studio
How to use DevQuasar/CohereLabs.command-a-reasoning-08-2025-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 DevQuasar/CohereLabs.command-a-reasoning-08-2025-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 DevQuasar/CohereLabs.command-a-reasoning-08-2025-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for DevQuasar/CohereLabs.command-a-reasoning-08-2025-GGUF to start chatting
- Pi
How to use DevQuasar/CohereLabs.command-a-reasoning-08-2025-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf DevQuasar/CohereLabs.command-a-reasoning-08-2025-GGUF:Q4_K_M
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": "DevQuasar/CohereLabs.command-a-reasoning-08-2025-GGUF:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- OpenClaw new
How to use DevQuasar/CohereLabs.command-a-reasoning-08-2025-GGUF with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf DevQuasar/CohereLabs.command-a-reasoning-08-2025-GGUF:Q4_K_M
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "DevQuasar/CohereLabs.command-a-reasoning-08-2025-GGUF:Q4_K_M" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
- Docker Model Runner
How to use DevQuasar/CohereLabs.command-a-reasoning-08-2025-GGUF with Docker Model Runner:
docker model run hf.co/DevQuasar/CohereLabs.command-a-reasoning-08-2025-GGUF:Q4_K_M
- Lemonade
How to use DevQuasar/CohereLabs.command-a-reasoning-08-2025-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull DevQuasar/CohereLabs.command-a-reasoning-08-2025-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.CohereLabs.command-a-reasoning-08-2025-GGUF-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use DevQuasar/CohereLabs.command-a-reasoning-08-2025-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 DevQuasar/CohereLabs.command-a-reasoning-08-2025-GGUF:Q4_K_M
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 DevQuasar/CohereLabs.command-a-reasoning-08-2025-GGUF:Q4_K_M
Run Hermes
hermes
- Atomic Chat
Is this working on your fork?
Latest from git:
/content/llama.cpp# git log -n 1
commit 02e112f46b11d611ed9a576ac2c15993b230f116 (HEAD -> cohere2-moe-support, origin/cohere2-moe-support)
Merge: 7b08a0eca 4f0e43da6
Author: Csaba Kecskemeti <csaba.kecskemeti@gmail.com>
Date: Thu May 21 21:07:53 2026 -0700
Merge branch 'ggml-org:master' into cohere2-moe-support
I just tried to launch it
./build/bin/llama-server -m /content/CohereLabs.command-a-plus-05-2026-bf16-GGUF/CohereLabs.command-a-plus-05-2026-bf16.Q3_K_M-00001-of-00007.gguf --port 6006 -ngl 99 -c 8192
0.00.103.199 I log_info: verbosity = 3 (adjust with the `-lv N` CLI arg)
0.00.103.204 I device_info:
0.00.173.545 I - CUDA0 : NVIDIA RTX PRO 6000 Blackwell Server Edition (97250 MiB, 96691 MiB free)
0.00.173.560 I - CPU : AMD EPYC 9B45 (181130 MiB, 181130 MiB free)
0.00.173.661 I system_info: n_threads = 24 (n_threads_batch = 24) / 48 | CUDA : ARCHS = 1200 | USE_GRAPHS = 1 | PEER_MAX_BATCH_SIZE = 128 | BLACKWELL_NATIVE_FP4 = 1 | CPU : SSE3 = 1 | SSSE3 = 1 | AVX = 1 | AVX_VNNI = 1 | AVX2 = 1 | F16C = 1 | FMA = 1 | BMI2 = 1 | AVX512 = 1 | AVX512_VBMI = 1 | AVX512_VNNI = 1 | AVX512_BF16 = 1 | LLAMAFILE = 1 | OPENMP = 1 | REPACK = 1 |
0.00.173.692 I srv llama_server: n_parallel is set to auto, using n_parallel = 4 and kv_unified = true
0.00.173.731 I srv init: running without SSL
0.00.173.771 I srv init: using 47 threads for HTTP server
0.00.173.866 I srv start: binding port with default address family
0.00.175.087 I srv llama_server: loading model
0.00.175.096 I srv load_model: loading model '/content/CohereLabs.command-a-plus-05-2026-bf16-GGUF/CohereLabs.command-a-plus-05-2026-bf16.Q3_K_M-00001-of-00007.gguf'
0.00.175.141 I common_init_result: fitting params to device memory ...
0.00.175.142 I common_init_result: (for bugs during this step try to reproduce them with -fit off, or provide --verbose logs if the bug only occurs with -fit on)
0.00.518.064 E llama_model_load: error loading model: check_tensor_dims: tensor 'blk.0.attn_q.weight' has wrong shape; expected 4096, 4096, got 4096, 16384, 1, 1
0.00.518.080 E llama_model_load_from_file_impl: failed to load model
0.00.518.121 E common_fit_params: encountered an error while trying to fit params to free device memory: failed to load model
0.00.743.969 W load: special_eos_id is not in special_eog_ids - the tokenizer config may be incorrect
0.00.843.973 E llama_model_load: error loading model: check_tensor_dims: tensor 'blk.0.attn_q.weight' has wrong shape; expected 4096, 4096, got 4096, 16384, 1, 1
0.00.843.981 E llama_model_load_from_file_impl: failed to load model
0.00.843.988 E common_init_from_params: failed to load model '/content/CohereLabs.command-a-plus-05-2026-bf16-GGUF/CohereLabs.command-a-plus-05-2026-bf16.Q3_K_M-00001-of-00007.gguf'
0.00.843.994 E srv load_model: failed to load model, '/content/CohereLabs.command-a-plus-05-2026-bf16-GGUF/CohereLabs.command-a-plus-05-2026-bf16.Q3_K_M-00001-of-00007.gguf'
0.00.843.996 I srv operator(): operator(): cleaning up before exit...
0.00.845.456 E srv llama_server: exiting due to model loading error
Hmm trying to recall is I’ve tested with the llama-server. I think I’ve not. Try the simple-chat . I can took at the state of this later. I have t spent much time to make to fully ready, working on other things.