Instructions to use mshapiro123/recurrent-qwen2.5-0.5b-full-block with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mshapiro123/recurrent-qwen2.5-0.5b-full-block with Transformers:

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

pipe = pipeline("text-generation", model="mshapiro123/recurrent-qwen2.5-0.5b-full-block", trust_remote_code=True)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("mshapiro123/recurrent-qwen2.5-0.5b-full-block", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use mshapiro123/recurrent-qwen2.5-0.5b-full-block with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "mshapiro123/recurrent-qwen2.5-0.5b-full-block"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "mshapiro123/recurrent-qwen2.5-0.5b-full-block",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/mshapiro123/recurrent-qwen2.5-0.5b-full-block

SGLang

How to use mshapiro123/recurrent-qwen2.5-0.5b-full-block 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 "mshapiro123/recurrent-qwen2.5-0.5b-full-block" \
    --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": "mshapiro123/recurrent-qwen2.5-0.5b-full-block",
		"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 "mshapiro123/recurrent-qwen2.5-0.5b-full-block" \
        --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": "mshapiro123/recurrent-qwen2.5-0.5b-full-block",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use mshapiro123/recurrent-qwen2.5-0.5b-full-block with Docker Model Runner:
```
docker model run hf.co/mshapiro123/recurrent-qwen2.5-0.5b-full-block
```

recurrent-qwen2.5-0.5b-full-block / conversion_receipt.json

mshapiro123

Prepare private Paper One model release

fb5d2ad verified about 2 months ago

Raw History Blame Contribute Delete

1.62 kB

	{
	"schema_version": 1,
	"kind": "paper_one_hf_checkpoint_conversion",
	"status": "green",
	"created_at_utc": "2026-08-16T04:38:36.251947Z",
	"repo_name": "recurrent-qwen2.5-0.5b-full-block",
	"checkpoint_kind": "full_block_delta",
	"source_checkpoint": "/content/drive/MyDrive/recurrent-qwen-svgd-checkpoints/stage5_n24_support12_rung_20260707_140139/anneal_to_outcome_final/unfrozen_recurrent_step_6000.pt",
	"source_checkpoint_sha256_expected": "898a259db2ab344ece4545e2910b051840e8408dbe4927f799e7cdb3cdd8c7dc",
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	"source_phase": "unfrozen_recurrent",
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	},
	"excluded_checkpoint_parameters": 1606528,
	"exclusion_reason": "Receipt-bound legacy concat projection bypassed by split-mode forward execution",
	"safetensors_file": "recurrent_delta.safetensors",
	"safetensors_sha256": "095e5466aaf194eefbbfa8fc7c4d63879502d410ba2b03d7a884ab198e2b3831",
	"tensor_count": 150,
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	"lora_parameters": 0,
	"bridge_parameters": 1608321,
	"dtype_tensor_counts": {
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	"key_transform": "exclude manifest-listed inactive compatibility tensors; base_model.* -> backbone.*; all other release keys unchanged"
	}