Instructions to use AesSedai/Qwen3.5-35B-A3B-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 AesSedai/Qwen3.5-35B-A3B-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 AesSedai/Qwen3.5-35B-A3B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf AesSedai/Qwen3.5-35B-A3B-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 AesSedai/Qwen3.5-35B-A3B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf AesSedai/Qwen3.5-35B-A3B-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 AesSedai/Qwen3.5-35B-A3B-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf AesSedai/Qwen3.5-35B-A3B-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 AesSedai/Qwen3.5-35B-A3B-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf AesSedai/Qwen3.5-35B-A3B-GGUF:Q4_K_M
Use Docker
docker model run hf.co/AesSedai/Qwen3.5-35B-A3B-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use AesSedai/Qwen3.5-35B-A3B-GGUF with Ollama:
ollama run hf.co/AesSedai/Qwen3.5-35B-A3B-GGUF:Q4_K_M
- Unsloth Desktop
- Pi
How to use AesSedai/Qwen3.5-35B-A3B-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf AesSedai/Qwen3.5-35B-A3B-GGUF:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "AesSedai/Qwen3.5-35B-A3B-GGUF:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use AesSedai/Qwen3.5-35B-A3B-GGUF with Docker Model Runner:
docker model run hf.co/AesSedai/Qwen3.5-35B-A3B-GGUF:Q4_K_M
- Lemonade
How to use AesSedai/Qwen3.5-35B-A3B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull AesSedai/Qwen3.5-35B-A3B-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Qwen3.5-35B-A3B-GGUF-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use AesSedai/Qwen3.5-35B-A3B-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 AesSedai/Qwen3.5-35B-A3B-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 AesSedai/Qwen3.5-35B-A3B-GGUF:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use AesSedai/Qwen3.5-35B-A3B-GGUF with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf AesSedai/Qwen3.5-35B-A3B-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 "AesSedai/Qwen3.5-35B-A3B-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"
Why are there two ggufs for each precision level?
The first is an empty gguf containing only meta data, and the other is the one that actually contains tensors. Is there a specific reason for this? Can I combine them into one?
@Jianqiao1 Yes, you can combine them into one if you want. I split them like that in case I need to provide a metadata update like following an upstream chat template fix from the model provider for instance, that way it's easier to update just that first split and it also means people who want to download the model only need to re-download that first split instead of downloading the entire model again.
Locally you are free to combine them, if I did have an update to distribute you might have to split it then re-combine.
@Jianqiao1 Yes, you can combine them into one if you want. I split them like that in case I need to provide a metadata update like following an upstream chat template fix from the model provider for instance, that way it's easier to update just that first split and it also means people who want to download the model only need to re-download that first split instead of downloading the entire model again.
Locally you are free to combine them, if I did have an update to distribute you might have to split it then re-combine.
OK, got it. Thanks so much!
Thanks for your effor. Can you also please reupload merged gguf files because merging multiple gguf files and running them in LM Studio seems to cause problems in LM Studio:
llama_model_load: error loading model: missing tensor 'blk.0.ffn_gate_exps.weight'
llama_model_load_from_file_impl: failed to load model
2026-03-20 23:37:01 [DEBUG]
common_init_from_params: failed to load model 'C:\Users\user1.cache\lm-studio\models\AesSedai\Qwen3.5-35B-A3B-GGUF\Qwen3.5-35B-A3B-Q4_K_M-Merged.gguf'
srv load_model: failed to load model, 'C:\Users\user1.cache\lm-studio\models\AesSedai\Qwen3.5-35B-A3B-GGUF\Qwen3.5-35B-A3B-Q4_K_M-Merged.gguf': error loading model: missing tensor 'blk.0.ffn_gate_exps.weight'
2026-03-20 23:37:01 [DEBUG]
[LLMProcess] Failed to load model _0x54111c [Error]: Failed to load model.
at _0x5573b9.loadModel (C:\Program Files\LM Studio\resources\app.webpack\lib\llmworker.js:1:611743)
at process.processTicksAndRejections (node:internal/process/task_queues:105:5)
at async _0x5573b9.handleMessage (C:\Program Files\LM Studio\resources\app.webpack\lib\llmworker.js:1:603939) {
cause: 'Failed to load model',
suggestion: undefined,
errorData: undefined,
data: undefined,
displayData: undefined,
title: 'Failed to load model.'
}
@abdussamed41 I updated the quants with the fused up + gate, that error looks like you were maybe mixing an old unfused shared with one of the new fused shards? Try downloading and merging both shards from Q4_K_M.
I say this because the new quants with fused up + gate don't have a ffn_gate_exps tensor like your error says, it's now supposed to be ffn_up_gate_exps.
I deleted the ggufs I downloaded over the library of LM Studio and downloaded the models manually over huggingface, put them in a folder under models and now LM Studio is able to run the model without merging as well.....
Thanks
I deleted the ggufs I downloaded over the library of LM Studio and downloaded the models manually over huggingface, put them in a folder under models and now LM Studio is able to run the model without merging as well.....
Just FYI under linux, merging files is easy with the 'cat' command.
cat myfile_00001.gguf myfile2_00002.gguf > myfile.gguf
@BingoBird you don't want to cat the ggufs together like that, these were split using llama-gguf-split so you would want to use that to merge them back together into one file, eg:
$ ./build/bin/llama-gguf-split --merge /path/to/myfile_00001.gguf /path/to/merged.gguf