Instructions to use Gramscii-IT/SemanticRepair-270M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Gramscii-IT/SemanticRepair-270M with MLX:

# Make sure mlx-lm is installed
# pip install --upgrade mlx-lm

# Generate text with mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("Gramscii-IT/SemanticRepair-270M")

prompt = "Write a story about Einstein"
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
    messages, add_generation_prompt=True
)

text = generate(model, tokenizer, prompt=prompt, verbose=True)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Gramscii-IT/SemanticRepair-270M 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 Gramscii-IT/SemanticRepair-270M:Q8_0
# Run inference directly in the terminal:
llama cli -hf Gramscii-IT/SemanticRepair-270M:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Gramscii-IT/SemanticRepair-270M:Q8_0
# Run inference directly in the terminal:
llama cli -hf Gramscii-IT/SemanticRepair-270M:Q8_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 Gramscii-IT/SemanticRepair-270M:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf Gramscii-IT/SemanticRepair-270M:Q8_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 Gramscii-IT/SemanticRepair-270M:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Gramscii-IT/SemanticRepair-270M:Q8_0

Use Docker

docker model run hf.co/Gramscii-IT/SemanticRepair-270M:Q8_0

LM Studio
Jan

vLLM

How to use Gramscii-IT/SemanticRepair-270M with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Gramscii-IT/SemanticRepair-270M"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Gramscii-IT/SemanticRepair-270M",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Gramscii-IT/SemanticRepair-270M:Q8_0

Ollama
How to use Gramscii-IT/SemanticRepair-270M with Ollama:
```
ollama run hf.co/Gramscii-IT/SemanticRepair-270M:Q8_0
```
Unsloth Desktop

MLX LM

How to use Gramscii-IT/SemanticRepair-270M with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "Gramscii-IT/SemanticRepair-270M"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "Gramscii-IT/SemanticRepair-270M"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "Gramscii-IT/SemanticRepair-270M",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

Docker Model Runner
How to use Gramscii-IT/SemanticRepair-270M with Docker Model Runner:
```
docker model run hf.co/Gramscii-IT/SemanticRepair-270M:Q8_0
```

Lemonade

How to use Gramscii-IT/SemanticRepair-270M with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Gramscii-IT/SemanticRepair-270M:Q8_0

Run and chat with the model

lemonade run user.SemanticRepair-270M-Q8_0

List all available models

lemonade list

Atomic Chat

Gramscii commited on 14 days ago

Commit

ae6a26c

verified ·

1 Parent(s): fa63651

tokenizer_config.json

Browse files

Files changed (1) hide show

tokenizer_config.json +25 -0

tokenizer_config.json ADDED Viewed

	@@ -0,0 +1,25 @@

+{
+  "backend": "tokenizers",
+  "boi_token": "<start_of_image>",
+  "bos_token": "<bos>",
+  "clean_up_tokenization_spaces": false,
+  "eoi_token": "<end_of_image>",
+  "eos_token": "<eos>",
+  "image_token": "<image_soft_token>",
+  "is_local": true,
+  "local_files_only": false,
+  "mask_token": "<mask>",
+  "model_max_length": 32768,
+  "model_specific_special_tokens": {
+    "boi_token": "<start_of_image>",
+    "eoi_token": "<end_of_image>",
+    "image_token": "<image_soft_token>"
+  },
+  "pad_token": "<pad>",
+  "padding_side": "left",
+  "sp_model_kwargs": null,
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "GemmaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}