Instructions to use Sandroeth/cali-0.1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Sandroeth/cali-0.1B with Transformers:

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

pipe = pipeline("text-generation", model="Sandroeth/cali-0.1B", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("Sandroeth/cali-0.1B", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Sandroeth/cali-0.1B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Sandroeth/cali-0.1B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Sandroeth/cali-0.1B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Sandroeth/cali-0.1B

SGLang

How to use Sandroeth/cali-0.1B 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 "Sandroeth/cali-0.1B" \
    --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": "Sandroeth/cali-0.1B",
		"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 "Sandroeth/cali-0.1B" \
        --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": "Sandroeth/cali-0.1B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Sandroeth/cali-0.1B with Docker Model Runner:
```
docker model run hf.co/Sandroeth/cali-0.1B
```

Sandroeth commited on 8 days ago

Commit

be45155

verified ·

1 Parent(s): 0e1c37c

Update config.json

Browse files

Files changed (1) hide show

config.json +11 -10

config.json CHANGED Viewed

@@ -1,10 +1,9 @@
 {
-  "architectures": ["CaliForCausalLM"],
   "model_type": "cali",
   "auto_map": {
-    "AutoConfig": "configuration_cali.CaliConfig",
-    "AutoModelForCausalLM": "modeling_cali.CaliForCausalLM"
   },
   "vocab_size": 32000,
   "hidden_dim": 768,
@@ -13,14 +12,16 @@
   "num_kv_heads": 1,
   "head_dim": 192,
   "seq_len": 1024,
-  "max_position_embeddings": 1024,
   "ffn_multiplier": 3.0,
-  "ffn_dim": 2304,
   "tie_embeddings": true,
   "rope_theta": 10000.0,
-  "bos_token_id": 2,
-  "eos_token_id": 3,
-  "pad_token_id": 0,
-  "torch_dtype": "float16",
   "transformers_version": "4.40.0"
 }

 {
   "model_type": "cali",
+  "architectures": ["CALIForCausalLM"],
   "auto_map": {
+    "AutoConfig": "configuration_cali.CALIConfig",
+    "AutoModelForCausalLM": "modeling_cali.CALIForCausalLM"
   },
   "vocab_size": 32000,
   "hidden_dim": 768,
   "num_kv_heads": 1,
   "head_dim": 192,
   "seq_len": 1024,
   "ffn_multiplier": 3.0,
+  "dropout": 0.0,
   "tie_embeddings": true,
   "rope_theta": 10000.0,
+  "rms_norm_eps": 1e-6,
+  "initializer_range": 0.02,
+  "use_cache": true,
+  "pad_token_id": null,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "torch_dtype": "float32",
   "transformers_version": "4.40.0"
 }