Instructions to use mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF", dtype="auto") - sentence-transformers
How to use mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - llama-cpp-python
How to use mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF", filename="Mursit-Embed-Qwen3-1.7B-TR.i1-IQ1_M.gguf", )
llm.create_chat_completion( messages = "\"Today is a sunny day and I will get some ice cream.\"" )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-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 mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-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 mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF:Q4_K_M
Use Docker
docker model run hf.co/mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF with Ollama:
ollama run hf.co/mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF:Q4_K_M
- Unsloth Studio
How to use mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-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 mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-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 mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF to start chatting
- Pi
How to use mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-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": "mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-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 mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF:Q4_K_M
Run Hermes
hermes
- Atomic Chat new
- Docker Model Runner
How to use mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF with Docker Model Runner:
docker model run hf.co/mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF:Q4_K_M
- Lemonade
How to use mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mradermacher/Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Mursit-Embed-Qwen3-1.7B-TR-i1-GGUF-Q4_K_M
List all available models
lemonade list
uploaded from rich1
Browse files- .gitattributes +24 -0
- Mursit-Embed-Qwen3-1.7B-TR.i1-IQ1_M.gguf +3 -0
- Mursit-Embed-Qwen3-1.7B-TR.i1-IQ1_S.gguf +3 -0
- Mursit-Embed-Qwen3-1.7B-TR.i1-IQ2_M.gguf +3 -0
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- Mursit-Embed-Qwen3-1.7B-TR.i1-Q4_1.gguf +3 -0
- Mursit-Embed-Qwen3-1.7B-TR.i1-Q4_K_M.gguf +3 -0
- Mursit-Embed-Qwen3-1.7B-TR.i1-Q4_K_S.gguf +3 -0
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- Mursit-Embed-Qwen3-1.7B-TR.i1-Q6_K.gguf +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:d5dfaaf5346ad1f98d3aaf5b8b45d1b95d6acc0c8513d2104ea4554cec371ea4
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size 1060191904
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:65835cca6bd88478baa548a40a5ee6267b884616c8c05e3355fe95e79644f1d0
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size 1257881248
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:8d9f5b5be2c3267d4d00ea9046b288d10c9805d1725ef9196d0c59d1cc4701c9
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size 1230585504
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:d1fba926b790936e781364014d5c0721f87d65f05414a322be23913acd3f69df
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size 1417756320
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