Instructions to use SynapticLabs/ProfSynapse_v01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use SynapticLabs/ProfSynapse_v01 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="SynapticLabs/ProfSynapse_v01")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("SynapticLabs/ProfSynapse_v01", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use SynapticLabs/ProfSynapse_v01 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 SynapticLabs/ProfSynapse_v01:F16
# Run inference directly in the terminal:
llama cli -hf SynapticLabs/ProfSynapse_v01:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf SynapticLabs/ProfSynapse_v01:F16
# Run inference directly in the terminal:
llama cli -hf SynapticLabs/ProfSynapse_v01:F16

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 SynapticLabs/ProfSynapse_v01:F16
# Run inference directly in the terminal:
./llama-cli -hf SynapticLabs/ProfSynapse_v01:F16

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 SynapticLabs/ProfSynapse_v01:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf SynapticLabs/ProfSynapse_v01:F16

Use Docker

docker model run hf.co/SynapticLabs/ProfSynapse_v01:F16

LM Studio
Jan

vLLM

How to use SynapticLabs/ProfSynapse_v01 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "SynapticLabs/ProfSynapse_v01"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SynapticLabs/ProfSynapse_v01",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/SynapticLabs/ProfSynapse_v01:F16

SGLang

How to use SynapticLabs/ProfSynapse_v01 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "SynapticLabs/ProfSynapse_v01" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SynapticLabs/ProfSynapse_v01",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "SynapticLabs/ProfSynapse_v01" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SynapticLabs/ProfSynapse_v01",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Ollama
How to use SynapticLabs/ProfSynapse_v01 with Ollama:
```
ollama run hf.co/SynapticLabs/ProfSynapse_v01:F16
```
Unsloth Desktop
Docker Model Runner
How to use SynapticLabs/ProfSynapse_v01 with Docker Model Runner:
```
docker model run hf.co/SynapticLabs/ProfSynapse_v01:F16
```

Lemonade

How to use SynapticLabs/ProfSynapse_v01 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull SynapticLabs/ProfSynapse_v01:F16

Run and chat with the model

lemonade run user.ProfSynapse_v01-F16

List all available models

lemonade list

Atomic Chat

professorsynapse commited on Feb 25, 2025

Commit

5fa7675

verified ·

1 Parent(s): b91abaa

(Trained with Unsloth)

Browse files

Files changed (1) hide show

config.json +2 -29

config.json CHANGED Viewed

@@ -1,30 +1,3 @@
 {
-  "_name_or_path": "unsloth/mistral-7b-v0.3",
-  "architectures": [
-    "MistralForCausalLM"
-  ],
-  "attention_dropout": 0.0,
-  "bos_token_id": 1,
-  "eos_token_id": 2,
-  "head_dim": 128,
-  "hidden_act": "silu",
-  "hidden_size": 4096,
-  "initializer_range": 0.02,
-  "intermediate_size": 14336,
-  "max_position_embeddings": 32768,
-  "model_type": "mistral",
-  "num_attention_heads": 32,
-  "num_hidden_layers": 32,
-  "num_key_value_heads": 8,
-  "pad_token_id": 770,
-  "rms_norm_eps": 1e-05,
-  "rope_scaling": null,
-  "rope_theta": 1000000.0,
-  "sliding_window": null,
-  "tie_word_embeddings": false,
-  "torch_dtype": "bfloat16",
-  "transformers_version": "4.48.3",
-  "unsloth_version": "2025.2.15",
-  "use_cache": true,
-  "vocab_size": 32823
-}

 {
+    "model_type": "mistral"
+}