Instructions to use SZLHOLDINGS/chaski with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

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
```

betterwithage commited on 1 day ago

Commit

c7e8368

verified ·

1 Parent(s): 552517c

docs: restore Series A card; tensors AVAILABLE; evals ROADMAP; job 6a91bf10 COMPLETED

Browse files

Files changed (1) hide show

README.md +14 -8

README.md CHANGED Viewed

@@ -43,11 +43,11 @@ Evals are ROADMAP. Adapters are on this repo.
 | | |
 |---|---|
-| **Artifact** | adapter 25.6MB + merged ~1.7GB **AVAILABLE** |
 | **Originality** | SZL fine-tune of a disclosed Apache Qwen instruct base |
-| **Base** | `Qwen/Qwen3.5-0.8B` (Apache-2.0, 0.6B–2B lock) |
 | **License** | `apache-2.0` |
-| **HF Jobs** | Attempt 5 **COMPLETED** [`6a91bf10`](https://huggingface.co/jobs/SZLHOLDINGS/6a91bf1045686a1580c12105) (`report_to=none`). |
 | **Status** | CUTTING |
 | **Later SKU** | `A11OY-MINI` GGUF after a GGUF file exists. ROADMAP. A receipt is not a GGUF parent. |
 | **Sibling** | [`szl-receiptagent-qwen35-0.8b-v2`](https://huggingface.co/SZLHOLDINGS/szl-receiptagent-qwen35-0.8b-v2) |
@@ -62,6 +62,12 @@ The house CPU lab serves **Khipu GGUF**, not Chaski. Lab load forbidden.
 - **What:** JSON drafts (`decision=DRAFT`, `approvalRequired=true`, `executed=false`) and doctrine-faithful UNKNOWN
 - **Where:** behind a validating controller. The weights propose. The controller gates.
 ## Evaluation
 **Status: none-this-run. ROADMAP.** Not 5/5. Not 6/6. `train_loss` MEASURED `1.783925924450159` is a train metric, not an eval.
@@ -69,11 +75,11 @@ The house CPU lab serves **Khipu GGUF**, not Chaski. Lab load forbidden.
 ## Training
 - **Recipe:** Unsloth QLoRA SFT. Script: `train_chaski.py`. Loads **only** `szl_dataset.jsonl`.
-- **Attempt 5 COMPLETED:** [`6a91bf1045686a1580c12105`](https://huggingface.co/jobs/SZLHOLDINGS/6a91bf1045686a1580c12105) `report_to=none`. Weights AVAILABLE.
-- **Attempt 4 ERROR, not RUNNING:** [`6a91bb7c984507d9db4ea0a4`](https://huggingface.co/jobs/SZLHOLDINGS/6a91bb7c984507d9db4ea0a4) Trackio 404. Files persisted anyway.
-- **Attempt 3 COMPLETED, no weights:** [`6a91ba00984507d9db4ea07f`](https://huggingface.co/jobs/SZLHOLDINGS/6a91ba00984507d9db4ea07f). Receipt only.
-- **Attempts 1–2 FAILED:** CastError; pyyaml 30s timeout.
-- **Trackio:** 404. No dashboard URL.
 - **publication_eligible:** false
 ## Limitations

 | | |
 |---|---|
+| **Artifact** | `adapter_model.safetensors` + merged ~1.7GB shard **AVAILABLE** |
 | **Originality** | SZL fine-tune of a disclosed Apache Qwen instruct base |
+| **Base** | `Qwen/Qwen3.5-0.8B` (Apache-2.0, 0.6B–2B lock). Not an Unsloth-default card. |
 | **License** | `apache-2.0` |
+| **HF Jobs** | Attempt 5 **COMPLETED** [`6a91bf1045686a1580c12105`](https://huggingface.co/jobs/SZLHOLDINGS/6a91bf1045686a1580c12105) (`report_to=none`). Tensors on Hub. |
 | **Status** | CUTTING |
 | **Later SKU** | `A11OY-MINI` GGUF after a GGUF file exists. ROADMAP. A receipt is not a GGUF parent. |
 | **Sibling** | [`szl-receiptagent-qwen35-0.8b-v2`](https://huggingface.co/SZLHOLDINGS/szl-receiptagent-qwen35-0.8b-v2) |
 - **What:** JSON drafts (`decision=DRAFT`, `approvalRequired=true`, `executed=false`) and doctrine-faithful UNKNOWN
 - **Where:** behind a validating controller. The weights propose. The controller gates.
+## What it is NOT
+- Not an autonomous agent, executor, factual oracle, or weapon.
+- Not a Qwen rehost.
+- Not the live lab model. Not a tokens/s claim.
 ## Evaluation
 **Status: none-this-run. ROADMAP.** Not 5/5. Not 6/6. `train_loss` MEASURED `1.783925924450159` is a train metric, not an eval.
 ## Training
 - **Recipe:** Unsloth QLoRA SFT. Script: `train_chaski.py`. Loads **only** `szl_dataset.jsonl`.
+- **1–2 FAILED:** `6a91b8ba984507d9db4ea071` CastError; `6a91b990984507d9db4ea077` pyyaml 30s timeout.
+- **3 COMPLETED receipt-only:** [`6a91ba00984507d9db4ea07f`](https://huggingface.co/jobs/SZLHOLDINGS/6a91ba00984507d9db4ea07f).
+- **4 ERROR, not RUNNING:** [`6a91bb7c984507d9db4ea0a4`](https://huggingface.co/jobs/SZLHOLDINGS/6a91bb7c984507d9db4ea0a4) Trackio 404. Files persisted.
+- **5 COMPLETED `report_to=none`:** [`6a91bf1045686a1580c12105`](https://huggingface.co/jobs/SZLHOLDINGS/6a91bf1045686a1580c12105). Tensors now on Hub.
+- **Trackio:** 404 `betterwithage/trackio-bucket`. No dashboard URL.
 - **publication_eligible:** false
 ## Limitations