Instructions to use Toadaid/tobyworld-mirror-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Toadaid/tobyworld-mirror-v2 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 Toadaid/tobyworld-mirror-v2
# Run inference directly in the terminal:
llama cli -hf Toadaid/tobyworld-mirror-v2

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Toadaid/tobyworld-mirror-v2
# Run inference directly in the terminal:
llama cli -hf Toadaid/tobyworld-mirror-v2

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 Toadaid/tobyworld-mirror-v2
# Run inference directly in the terminal:
./llama-cli -hf Toadaid/tobyworld-mirror-v2

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 Toadaid/tobyworld-mirror-v2
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Toadaid/tobyworld-mirror-v2

Use Docker

docker model run hf.co/Toadaid/tobyworld-mirror-v2

LM Studio
Jan

vLLM

How to use Toadaid/tobyworld-mirror-v2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Toadaid/tobyworld-mirror-v2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Toadaid/tobyworld-mirror-v2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Toadaid/tobyworld-mirror-v2

Ollama
How to use Toadaid/tobyworld-mirror-v2 with Ollama:
```
ollama run hf.co/Toadaid/tobyworld-mirror-v2
```
Unsloth Desktop
Docker Model Runner
How to use Toadaid/tobyworld-mirror-v2 with Docker Model Runner:
```
docker model run hf.co/Toadaid/tobyworld-mirror-v2
```

Lemonade

How to use Toadaid/tobyworld-mirror-v2 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Toadaid/tobyworld-mirror-v2

Run and chat with the model

lemonade run user.tobyworld-mirror-v2-{{QUANT_TAG}}

List all available models

lemonade list

Atomic Chat

Toadaid commited on Jan 6

Commit

495c8b4

verified ·

1 Parent(s): 5ebef96

Update README.md

Browse files

Files changed (1) hide show

README.md +0 -5

README.md CHANGED Viewed

@@ -1,6 +1,5 @@
 ---
 license: apache-2.0
----
 language:
   - en
   - zh
@@ -23,7 +22,6 @@ tags:
   - tobyworld
   - proof-of-time
   - deepseek
 library_name: llama.cpp
 model_type: llama
 quantization: Q8_K_M
@@ -212,6 +210,3 @@ and dataset-level upgrades from Mirror v1 to v2, see:
 → **Mirror v2 — Canonical Upgrade Overview**
 → `CANONICAL_UPGRADE_V2.md`
----

 ---
 license: apache-2.0
 language:
   - en
   - zh
   - tobyworld
   - proof-of-time
   - deepseek
 library_name: llama.cpp
 model_type: llama
 quantization: Q8_K_M
 → **Mirror v2 — Canonical Upgrade Overview**
 → `CANONICAL_UPGRADE_V2.md`