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
docs: attempt 5 RUNNING 6a91bf10; attempt 4 ERROR after train, Trackio 404 ate upload
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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jobs: RUNNING
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job_id:
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job_retry:
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job_completed_no_weights: 6a91ba00984507d9db4ea07f
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job_namespace: SZLHOLDINGS
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weights: UNAVAILABLE
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---
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# Chaski
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| **Originality** | SZL fine-tune of a disclosed Apache Qwen instruct base |
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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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| **HF Jobs** | Attempt
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| **Status** | CUTTING until files exist on the repo |
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| **Later SKU** | `A11OY-MINI` GGUF
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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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- **What:** JSON drafts (`decision=DRAFT`, `approvalRequired=true`, `executed=false`) and doctrine-faithful UNKNOWN
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- **Where:** behind a validating controller. The weights propose. The controller gates.
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## What it is NOT
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- Not an autonomous agent, executor, factual oracle, or weapon.
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- Not a Qwen rehost.
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- Not the live lab model. Not a tokens/s claim.
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## Evaluation
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**Status: none-this-run.** Not 5/5. Not 6/6. Quality is UNKNOWN.
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## Training
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- **Recipe:** Unsloth QLoRA SFT. Script: `train_chaski.py`. Loads **only** `szl_dataset.jsonl`.
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- **Attempt
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## Limitations
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- Narrow curriculum. Controller required. Λ = Conjecture 1.
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originality: FINETUNE_DISCLOSED_BASE
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collection: "SZL Fall 2026 — Original Cuts"
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jobs: RUNNING
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job_id: 6a91bf1045686a1580c12105
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job_retry: 6a91bf1045686a1580c12105
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job_completed_no_weights: 6a91ba00984507d9db4ea07f
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job_namespace: SZLHOLDINGS
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weights: UNAVAILABLE
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job_prior_failed:
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- 6a91b8ba984507d9db4ea071
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---
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# Chaski
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| **Originality** | SZL fine-tune of a disclosed Apache Qwen instruct base |
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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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| **HF Jobs** | Attempt 5 RUNNING [`6a91bf10`](https://huggingface.co/jobs/SZLHOLDINGS/6a91bf1045686a1580c12105) (`report_to=none`, `upload_folder`). |
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| **Status** | CUTTING until files exist on the repo |
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| **Later SKU** | `A11OY-MINI` GGUF after adapters land. ROADMAP. A receipt is not a GGUF parent. |
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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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- **What:** JSON drafts (`decision=DRAFT`, `approvalRequired=true`, `executed=false`) and doctrine-faithful UNKNOWN
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- **Where:** behind a validating controller. The weights propose. The controller gates.
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## Evaluation
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**Status: none-this-run.** Not 5/5. Not 6/6. Quality is UNKNOWN.
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## Training
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- **Recipe:** Unsloth QLoRA SFT. Script: `train_chaski.py`. Loads **only** `szl_dataset.jsonl`. `report_to=none` (Trackio 404 was poisoning Hub uploads).
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- **Attempt 5 RUNNING:** [`6a91bf1045686a1580c12105`](https://huggingface.co/jobs/SZLHOLDINGS/6a91bf1045686a1580c12105).
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- **Attempt 4 ERROR after train:** [`6a91bb7c984507d9db4ea0a4`](https://huggingface.co/jobs/SZLHOLDINGS/6a91bb7c984507d9db4ea0a4). Loss MEASURED `1.7844666938763112` (64/64). Merge ran. `upload_folder` failed: Trackio 404 `betterwithage/trackio-bucket`. Safetensors UNAVAILABLE.
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- **Attempt 3 COMPLETED, no weights:** [`6a91ba00984507d9db4ea07f`](https://huggingface.co/jobs/SZLHOLDINGS/6a91ba00984507d9db4ea07f). Loss MEASURED `1.782708187121898`. Receipt only.
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- **Attempts 1–2 FAILED:** CastError; pyyaml 30s timeout.
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- **Trackio:** 404. No dashboard URL.
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## Limitations
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- Narrow curriculum. Controller required. Λ = Conjecture 1. `publication_eligible: false`.
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