Instructions to use SlayerLab/pollock-mini-lm-125m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use SlayerLab/pollock-mini-lm-125m with Transformers:

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

pipe = pipeline("text-generation", model="SlayerLab/pollock-mini-lm-125m", trust_remote_code=True)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("SlayerLab/pollock-mini-lm-125m", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use SlayerLab/pollock-mini-lm-125m with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "SlayerLab/pollock-mini-lm-125m"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SlayerLab/pollock-mini-lm-125m",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/SlayerLab/pollock-mini-lm-125m

SGLang

How to use SlayerLab/pollock-mini-lm-125m 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 "SlayerLab/pollock-mini-lm-125m" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SlayerLab/pollock-mini-lm-125m",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "SlayerLab/pollock-mini-lm-125m" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SlayerLab/pollock-mini-lm-125m",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use SlayerLab/pollock-mini-lm-125m with Docker Model Runner:
```
docker model run hf.co/SlayerLab/pollock-mini-lm-125m
```

dawidmajewski commited on 22 days ago

Commit

f2a1ec0

verified ·

1 Parent(s): 0d22afe

Add Pollock 1.5 core artifacts

Browse files

Stage the verified r007 E4-best weights, model configuration, and tokenizer before replaying fixed inference from this immutable commit.

Files changed (4) hide show

config.json +6 -7
model.safetensors +2 -2
tokenizer.json +0 -0
tokenizer_config.json +1 -1

config.json CHANGED Viewed

@@ -12,13 +12,12 @@
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-  "model_version": "1.4",
-  "n_ctx": 1024,
-  "n_embd": 896,
-  "n_head": 14,
-  "n_inner": null,
-  "n_layer": 12,
-  "n_positions": 1024,
   "pad_token_id": 12285,
   "reorder_and_upcast_attn": false,
   "resid_pdrop": 0.0,

   "initializer_range": 0.02,
   "layer_norm_epsilon": 1e-05,
   "model_type": "gpt2",
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+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3200,
+  "n_layer": 16,
+  "n_positions": 2048,
   "pad_token_id": 12285,
   "reorder_and_upcast_attn": false,
   "resid_pdrop": 0.0,

model.safetensors CHANGED Viewed

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+size 510281160

tokenizer.json CHANGED Viewed

The diff for this file is too large to render. See raw diff

tokenizer_config.json CHANGED Viewed

@@ -6,7 +6,7 @@
     "<|im_start|>",
     "<|im_end|>"
   ],
-  "model_max_length": 1024,
   "pad_token": "<|endoftext|>",
   "tokenizer_class": "TokenizersBackend"
 }

     "<|im_start|>",
     "<|im_end|>"
   ],
+  "model_max_length": 2048,
   "pad_token": "<|endoftext|>",
   "tokenizer_class": "TokenizersBackend"
 }