Instructions to use Rabe3/1-bit-embedding-general with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Rabe3/1-bit-embedding-general with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Rabe3/1-bit-embedding-general",
	filename="medbit-2b-embed.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Rabe3/1-bit-embedding-general 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 Rabe3/1-bit-embedding-general
# Run inference directly in the terminal:
llama cli -hf Rabe3/1-bit-embedding-general

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Rabe3/1-bit-embedding-general
# Run inference directly in the terminal:
llama cli -hf Rabe3/1-bit-embedding-general

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 Rabe3/1-bit-embedding-general
# Run inference directly in the terminal:
./llama-cli -hf Rabe3/1-bit-embedding-general

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 Rabe3/1-bit-embedding-general
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Rabe3/1-bit-embedding-general

Use Docker

docker model run hf.co/Rabe3/1-bit-embedding-general

LM Studio
Jan
Ollama
How to use Rabe3/1-bit-embedding-general with Ollama:
```
ollama run hf.co/Rabe3/1-bit-embedding-general
```

Unsloth Studio

How to use Rabe3/1-bit-embedding-general 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 Rabe3/1-bit-embedding-general 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 Rabe3/1-bit-embedding-general to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Rabe3/1-bit-embedding-general to start chatting

Atomic Chat new
Docker Model Runner
How to use Rabe3/1-bit-embedding-general with Docker Model Runner:
```
docker model run hf.co/Rabe3/1-bit-embedding-general
```

Lemonade

How to use Rabe3/1-bit-embedding-general with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Rabe3/1-bit-embedding-general

Run and chat with the model

lemonade run user.1-bit-embedding-general-{{QUANT_TAG}}

List all available models

lemonade list

Rabe3 commited on 11 days ago

Commit

477bb15

verified ·

1 Parent(s): 68bcc01

Upload bf16/special_tokens_map.json with huggingface_hub

Browse files

Files changed (1) hide show

bf16/special_tokens_map.json +17 -0

bf16/special_tokens_map.json ADDED Viewed

	@@ -0,0 +1,17 @@

+{
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|eot_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|eot_id|>"
+}