Text Generation
Transformers
Safetensors
English
qwen3_5
image-text-to-text
szl-holdings
series-a
doctrine-v11
governed-ai
proposal-only
conversational
Instructions to use SZLHOLDINGS/chaski with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SZLHOLDINGS/chaski with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="SZLHOLDINGS/chaski") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("SZLHOLDINGS/chaski") model = AutoModelForMultimodalLM.from_pretrained("SZLHOLDINGS/chaski", device_map="auto") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use SZLHOLDINGS/chaski with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "SZLHOLDINGS/chaski" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SZLHOLDINGS/chaski", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/SZLHOLDINGS/chaski
- SGLang
How to use SZLHOLDINGS/chaski 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 "SZLHOLDINGS/chaski" \ --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": "SZLHOLDINGS/chaski", "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 "SZLHOLDINGS/chaski" \ --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": "SZLHOLDINGS/chaski", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use SZLHOLDINGS/chaski with Docker Model Runner:
docker model run hf.co/SZLHOLDINGS/chaski
Jobs RUNNING 6a91b8ba under SZLHOLDINGS, still no weights
Browse files
README.md
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originality: FINETUNE_DISCLOSED_BASE
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collection: "SZL Fall 2026 — Original Cuts"
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demo_space: https://huggingface.co/spaces/SZLHOLDINGS/szl-model-inference-lab
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---
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<!-- SZL-ESTATE-CARD:v2:START -->
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<p align="center"><a href="https://a-11-oy.com/"><img src="https://huggingface.co/spaces/SZLHOLDINGS/README/resolve/main/assets/estate-banner-v2.svg" alt="SZL Holdings — governed, receipted, verifiable" width="100%"></a></p>
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<p align="center">
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<a href="https://github.com/szl-holdings/.github/tree/main/doctrine"><img src="https://img.shields.io/badge/doctrine-v11%20LOCKED-0B1F3A?style=flat-square" alt="doctrine v11"></a>
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<a href="https://huggingface.co/spaces/SZLHOLDINGS/szl-model-inference-lab"><img src="https://img.shields.io/badge/demo-lab%20LIVE%20%C2%B7%20Chaski%
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<a href="https://a-11-oy.com/"><img src="https://img.shields.io/badge/evidence%20wall-verify%20in%20browser-C9B787?style=flat-square" alt="evidence wall"></a>
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</p>
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<p align="center"><sub>Part of the <a href="https://huggingface.co/SZLHOLDINGS">SZL Holdings</a> governed estate. Verification proves integrity and origin, never accuracy or performance. Λ = Conjecture 1.</sub></p>
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| **Base** | `Qwen/Qwen3.5-0.8B` (Apache-2.0, 0.6B–2B lock) |
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| **License** | `apache-2.0` |
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| **House lab** | [szl-model-inference-lab](https://huggingface.co/spaces/SZLHOLDINGS/szl-model-inference-lab) — LIVE on Khipu GGUF. **This repo is not loaded there.** |
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| **Sibling** | [`szl-receiptagent-qwen35-0.8b-v2`](https://huggingface.co/SZLHOLDINGS/szl-receiptagent-qwen35-0.8b-v2) |
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> **Fashion rule.** Silhouette from Qwen3 / Qwen3.5 instruct. Cut is original SZL. We do not republish someone else's tensors.
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- **Recipe:** Unsloth QLoRA SFT, receiptagent knobs (seed 11, LoRA r=16 α=32, max_steps 64, lr 2e-4, response-only CE). Script: `train_chaski.py`.
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- **Data:** `SZLHOLDINGS/szl-1-doctrine-sft` (41 MEASURED rows) plus ouroboros identity turns. Brain corpus excluded until rights admission.
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## Limitations
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originality: FINETUNE_DISCLOSED_BASE
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collection: "SZL Fall 2026 — Original Cuts"
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demo_space: https://huggingface.co/spaces/SZLHOLDINGS/szl-model-inference-lab
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jobs: RUNNING
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job_id: 6a91b8ba984507d9db4ea071
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job_namespace: SZLHOLDINGS
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---
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<!-- SZL-ESTATE-CARD:v2:START -->
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<p align="center"><a href="https://a-11-oy.com/"><img src="https://huggingface.co/spaces/SZLHOLDINGS/README/resolve/main/assets/estate-banner-v2.svg" alt="SZL Holdings — governed, receipted, verifiable" width="100%"></a></p>
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<p align="center">
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<a href="https://github.com/szl-holdings/.github/tree/main/doctrine"><img src="https://img.shields.io/badge/doctrine-v11%20LOCKED-0B1F3A?style=flat-square" alt="doctrine v11"></a>
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<a href="https://huggingface.co/spaces/SZLHOLDINGS/szl-model-inference-lab"><img src="https://img.shields.io/badge/demo-lab%20LIVE%20%C2%B7%20Chaski%20not%20loaded-3AF4C8?style=flat-square" alt="demo Space"></a>
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<a href="https://a-11-oy.com/"><img src="https://img.shields.io/badge/evidence%20wall-verify%20in%20browser-C9B787?style=flat-square" alt="evidence wall"></a>
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</p>
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<p align="center"><sub>Part of the <a href="https://huggingface.co/SZLHOLDINGS">SZL Holdings</a> governed estate. Verification proves integrity and origin, never accuracy or performance. Λ = Conjecture 1.</sub></p>
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| **Base** | `Qwen/Qwen3.5-0.8B` (Apache-2.0, 0.6B–2B lock) |
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| **License** | `apache-2.0` |
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| **House lab** | [szl-model-inference-lab](https://huggingface.co/spaces/SZLHOLDINGS/szl-model-inference-lab) — LIVE on Khipu GGUF. **This repo is not loaded there.** |
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| **HF Jobs** | RUNNING `6a91b8ba984507d9db4ea071` under `SZLHOLDINGS`. Not MEASURED until the job finishes and a receipt exists. |
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| **Status** | CUTTING · train in flight · weights ROADMAP |
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| **Sibling** | [`szl-receiptagent-qwen35-0.8b-v2`](https://huggingface.co/SZLHOLDINGS/szl-receiptagent-qwen35-0.8b-v2) |
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> **Fashion rule.** Silhouette from Qwen3 / Qwen3.5 instruct. Cut is original SZL. We do not republish someone else's tensors.
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- **Recipe:** Unsloth QLoRA SFT, receiptagent knobs (seed 11, LoRA r=16 α=32, max_steps 64, lr 2e-4, response-only CE). Script: `train_chaski.py`.
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- **Data:** `SZLHOLDINGS/szl-1-doctrine-sft` (41 MEASURED rows) plus ouroboros identity turns. Brain corpus excluded until rights admission.
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- **Job:** `6a91b8ba984507d9db4ea071` namespace `SZLHOLDINGS`. Label: RUNNING. Not a finished receipt.
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- **Train receipt:** absent until the job finishes. Absence = do not claim signed provenance.
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## Limitations
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