Instructions to use migtissera/Tess-4-35B-A3B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use migtissera/Tess-4-35B-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 migtissera/Tess-4-35B-A3B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf migtissera/Tess-4-35B-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 migtissera/Tess-4-35B-A3B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf migtissera/Tess-4-35B-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 migtissera/Tess-4-35B-A3B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf migtissera/Tess-4-35B-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 migtissera/Tess-4-35B-A3B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf migtissera/Tess-4-35B-A3B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/migtissera/Tess-4-35B-A3B-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use migtissera/Tess-4-35B-A3B-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "migtissera/Tess-4-35B-A3B-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": "migtissera/Tess-4-35B-A3B-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/migtissera/Tess-4-35B-A3B-GGUF:Q4_K_M

Ollama
How to use migtissera/Tess-4-35B-A3B-GGUF with Ollama:
```
ollama run hf.co/migtissera/Tess-4-35B-A3B-GGUF:Q4_K_M
```
Unsloth Desktop

How to use migtissera/Tess-4-35B-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 migtissera/Tess-4-35B-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": "migtissera/Tess-4-35B-A3B-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use migtissera/Tess-4-35B-A3B-GGUF with Docker Model Runner:
```
docker model run hf.co/migtissera/Tess-4-35B-A3B-GGUF:Q4_K_M
```

Lemonade

How to use migtissera/Tess-4-35B-A3B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull migtissera/Tess-4-35B-A3B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Tess-4-35B-A3B-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use migtissera/Tess-4-35B-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 migtissera/Tess-4-35B-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 migtissera/Tess-4-35B-A3B-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use migtissera/Tess-4-35B-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 migtissera/Tess-4-35B-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 "migtissera/Tess-4-35B-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"

llama_model_load: error loading model: done_getting_tensors: wrong number of tensors; expected 756, got 754

by jpbwin - opened Jul 30

Discussion

jpbwin

Jul 30

Just trying to run this as follows against llama.cpp HEAD results in:

llama-server --model Tess-4-35B-A3B-Q6_K-MTP-Q4D-Q4H-PV64K.gguf -ngl 99 -sm layer --jinja --host 0.0.0.0 --alias "Qwen 3.6" --port 5001   --spec-type
 draft-mtp \
          --spec-draft-n-max 5 --spec-draft-n-min 0 --spec-draft-p-min 0.70

0.00.228.203 I cmn  common_param: common_params_print_info: verbosity = 3 (adjust with the `-lv N` CLI arg)
0.00.395.075 I srv    load_model: loading model 'Tess-4-35B-A3B-Q6_K-MTP-Q4D-Q4H-PV64K.gguf'
0.00.646.570 E llama_model_load: error loading model: done_getting_tensors: wrong number of tensors; expected 756, got 754
0.00.646.574 E llama_model_load_from_file_impl: failed to load model
0.00.646.608 W srv    load_model: [spec] failed to measure MTP context memory: failed to load model
0.00.876.380 E llama_model_load: error loading model: done_getting_tensors: wrong number of tensors; expected 756, got 754
0.00.876.384 E llama_model_load_from_file_impl: failed to load model
0.00.876.400 E common_fit_params: encountered an error while trying to fit params to free device memory: failed to load model
0.01.103.806 E llama_model_load: error loading model: done_getting_tensors: wrong number of tensors; expected 756, got 754
0.01.103.810 E llama_model_load_from_file_impl: failed to load model
0.01.103.814 E cmn  common_init_: failed to load model 'Tess-4-35B-A3B-Q6_K-MTP-Q4D-Q4H-PV64K.gguf'
0.01.103.818 E srv    load_model: failed to load model, 'Tess-4-35B-A3B-Q6_K-MTP-Q4D-Q4H-PV64K.gguf'
0.01.103.819 I srv    operator(): operator(): cleaning up before exit...
0.01.104.383 E srv  llama_server: exiting due to model loading error

After re-reading the model card carefully, i see that I need some llama.cpp fork. Can you include a link to it in your readme please? i have no idea where it is. thanks

migtissera

Owner Jul 30

Hey, are you on a Mac? If so, the easiest way is to use Tess Server: https://www.npmjs.com/package/@trinity-cloud/tess-server.

Otherwise, there are community GGUF converts. This has the MTP Head bolted in, that's why you're getting the error.

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