Instructions to use Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT",
	filename="mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_TENSOR-00001-of-00024.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 Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT:Q4_0
# Run inference directly in the terminal:
llama-cli -hf Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT:Q4_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT:Q4_0
# Run inference directly in the terminal:
llama-cli -hf Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT:Q4_0

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 Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT:Q4_0
# Run inference directly in the terminal:
./llama-cli -hf Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT:Q4_0

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 Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT:Q4_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT:Q4_0

Use Docker

docker model run hf.co/Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT:Q4_0

LM Studio
Jan
Ollama
How to use Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT with Ollama:
```
ollama run hf.co/Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT:Q4_0
```

Unsloth Studio

How to use Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT 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 Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT 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 Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT to start chatting

How to use Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT:Q4_0

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": "Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT:Q4_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT:Q4_0

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 Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT:Q4_0

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT with Docker Model Runner:
```
docker model run hf.co/Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT:Q4_0
```

Lemonade

How to use Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Thireus/mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT:Q4_0

Run and chat with the model

lemonade run user.mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT-Q4_0

List all available models

lemonade list

mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT / tensors.map

Thireus

mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_SPLIT

3eb5be7 21 days ago

raw

history blame contribute delete

4.97 kB

	mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_TENSOR-00002-of-00024.gguf:9ad8da6fdfc2dd86a668791052041cfed708c574da8cf4c5a65170b4cc7b4427:token_embd.weight:shape=(2048, 248320):dtype=q4_0:elements=508559360:bytes=286064640
	mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_TENSOR-00003-of-00024.gguf:49083fcdf40696fb1988ffe8550c05f2f76d6f21acc76670bc9915f50fed0c3c:blk.40.ffn_gate_exps.weight:shape=(2048, 512, 256):dtype=q4_0:elements=268435456:bytes=150994944
	mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_TENSOR-00004-of-00024.gguf:0f502d6c38f5325b15bcb69be98db4d0852d978c64d205e1d2ec2c09430cbf7c:blk.40.ffn_up_exps.weight:shape=(2048, 512, 256):dtype=q4_0:elements=268435456:bytes=150994944
	mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_TENSOR-00005-of-00024.gguf:def218b596a9da6d5b1c593c60e8ea6d5d3845ebf6e5d8f7fc921c9766858eb8:output.weight:shape=(2048, 248320):dtype=q4_0:elements=508559360:bytes=286064640
	mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_TENSOR-00006-of-00024.gguf:e99ffa9a42c8779f69e1bddbc6cbdb51d1eaba7a99004b9e12dec94cef23802d:output_norm.weight:shape=(2048,):dtype=f32:elements=2048:bytes=8192
	mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_TENSOR-00007-of-00024.gguf:53c61e9d407a97734c92e0d98eb4e0f9455035a65f2f151933b44e107b2ec5e5:blk.40.nextn.eh_proj.weight:shape=(4096, 2048):dtype=q4_0:elements=8388608:bytes=4718592
	mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_TENSOR-00008-of-00024.gguf:562c312372d40a793a5da965ae12fe1b0eeae98a2a0a391edb0d97483befe5dd:blk.40.attn_norm.weight:shape=(2048,):dtype=f32:elements=2048:bytes=8192
	mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_TENSOR-00009-of-00024.gguf:3da3ee43b6188608f5f0a95e5393c3dd71060225f53c509d792f82bd271a8c11:blk.40.ffn_down_exps.weight:shape=(512, 2048, 256):dtype=q4_0:elements=268435456:bytes=150994944
	mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_TENSOR-00010-of-00024.gguf:7f5bf0b7ca59bd4e5cc9c4e3009c1e25faca26ba28da67dea0d276e8ca04c7d4:blk.40.ffn_gate_inp.weight:shape=(2048, 256):dtype=bf16:elements=524288:bytes=1048576
	mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_TENSOR-00011-of-00024.gguf:8a2a9c883d0fd80569c580588cbf5ec59259ddd77f018aa7c82836294eacd06c:blk.40.ffn_down_shexp.weight:shape=(512, 2048):dtype=q4_0:elements=1048576:bytes=589824
	mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_TENSOR-00012-of-00024.gguf:41fddf9bc40de5c07ba0ed721baae5e979c9b05419c9b83ae5e92308fe7c8412:blk.40.ffn_gate_shexp.weight:shape=(2048, 512):dtype=q4_0:elements=1048576:bytes=589824
	mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_TENSOR-00013-of-00024.gguf:82f23a3238271fc22dd0cc5ccd72ffde5142feb0fe6f7a2d449c33dddd80cb85:blk.40.ffn_up_shexp.weight:shape=(2048, 512):dtype=q4_0:elements=1048576:bytes=589824
	mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_TENSOR-00014-of-00024.gguf:f98f329aefff68ec4266b9e2a2720abdf99af4259db798889037217d4162041d:blk.40.ffn_gate_inp_shexp.weight:shape=(2048,):dtype=bf16:elements=2048:bytes=4096
	mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_TENSOR-00015-of-00024.gguf:008df60d61333c9c5917bb6b798d9441611a30b2109e1cb2382c8b026ec2aebe:blk.40.post_attention_norm.weight:shape=(2048,):dtype=f32:elements=2048:bytes=8192
	mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_TENSOR-00016-of-00024.gguf:665c6694f97931b081baa3af161ddf592951b65529fc389dfea6a17f72b8694c:blk.40.attn_k_norm.weight:shape=(256,):dtype=f32:elements=256:bytes=1024
	mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_TENSOR-00017-of-00024.gguf:522c1e5bd068d31996be89f261c5eb006a08c2584866709d1f6f04b0e062e17d:blk.40.attn_k.weight:shape=(2048, 512):dtype=q4_0:elements=1048576:bytes=589824
	mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_TENSOR-00018-of-00024.gguf:f2c727a9028cb25232b65932153d6ad3e64ff9fedde8245d2bbb59b5ce24469f:blk.40.attn_output.weight:shape=(4096, 2048):dtype=q4_0:elements=8388608:bytes=4718592
	mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_TENSOR-00019-of-00024.gguf:207712168da8623f0532a14729455d9bdce4e3cfdfd97e1c4244d95d764c6e71:blk.40.attn_q_norm.weight:shape=(256,):dtype=f32:elements=256:bytes=1024
	mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_TENSOR-00020-of-00024.gguf:0ad3cc717d7fdc5257e9bc84e6e006ddc9c2a4ae7d4474673e61eab65a41bff3:blk.40.attn_q.weight:shape=(2048, 8192):dtype=q4_0:elements=16777216:bytes=9437184
	mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_TENSOR-00021-of-00024.gguf:041f0e175f2d470e89b039920c858783dd11df880e25b87ecc40b93bfbf5ec95:blk.40.attn_v.weight:shape=(2048, 512):dtype=q4_0:elements=1048576:bytes=589824
	mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_TENSOR-00022-of-00024.gguf:6fc194ba2a779fa79285998321f80c90072dd79c0d82753fbbc863213338061e:blk.40.nextn.shared_head_norm.weight:shape=(2048,):dtype=f32:elements=2048:bytes=8192
	mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_TENSOR-00023-of-00024.gguf:6356be016e3a20fff4d4840d34542fe0e745cf79c3a5625bcb66a0adbc9adedf:blk.40.nextn.enorm.weight:shape=(2048,):dtype=f32:elements=2048:bytes=8192
	mtp-Qwen3.6-35B-A3B-THIREUS-Q4_0-SPECIAL_TENSOR-00024-of-00024.gguf:2afcf4bbd7f3a906fc1116b46d1238c5c805a24d60d08b03169541c5696783c3:blk.40.nextn.hnorm.weight:shape=(2048,):dtype=f32:elements=2048:bytes=8192