svetliq-11b-v3-evolutionary-preview-mlx-q8

svetliq-11b-v3-evolutionary-preview-mlx-q8 is a Polish veterinary clinical checkpoint in MLX format, derived from speakleash/Bielik-11B-v2.6-Instruct and packaged for local Apple Silicon inference.

Intended use

• Polish veterinary clinical drafting and case reasoning for practitioner review
• Differential diagnosis, triage notes, drug-reference style explanations, and care-plan drafts
• Local Apple Silicon inference where data locality and operator control matter

Out of scope

• Direct-to-owner veterinary diagnosis or treatment decisions
• Languages other than Polish unless independently evaluated
• Safety-critical decisions without domain expert review
• Claims of benchmark superiority not backed by published evaluation data
• Non-MLX runtime guarantees; this card documents the shipped HF checkpoint, not every possible serving stack

Training and conversion metadata

Parameter	Value
Repository	LibraxisAI/svetliq-11b-v3-evolutionary-preview-mlx-q8
Base model	speakleash/Bielik-11B-v2.6-Instruct
Task	text-generation
Library	mlx
Format	MLX / Apple Silicon checkpoint
Quantization	Q8
Architecture	LlamaForCausalLM
Model files	3
Config model_type	llama

This card only reports metadata present in the Hugging Face repository, existing card frontmatter, or public config files. Missing benchmark, dataset, or training-run details are left explicit rather than reconstructed.

Usage

CLI

pip install mlx-lm

mlx_lm.generate \
  --model LibraxisAI/svetliq-11b-v3-evolutionary-preview-mlx-q8 \
  --prompt "Opisz krótko objawy odwodnienia u psa i kiedy pilnie skontaktować się z lekarzem weterynarii." \
  --max-tokens 400

Python

from mlx_lm import load, generate

model, tokenizer = load("LibraxisAI/svetliq-11b-v3-evolutionary-preview-mlx-q8")

prompt = "Opisz krótko objawy odwodnienia u psa i kiedy pilnie skontaktować się z lekarzem weterynarii."
response = generate(model, tokenizer, prompt=prompt, max_tokens=400)
print(response)

Multi-turn with the chat template

This checkpoint follows the tokenizer/chat-template contract inherited from speakleash/Bielik-11B-v2.6-Instruct when the template is present in the repository:

from mlx_lm import load, generate

model, tokenizer = load("LibraxisAI/svetliq-11b-v3-evolutionary-preview-mlx-q8")

messages = [
    {"role": "user", "content": "Opisz krótko objawy odwodnienia u psa i kiedy pilnie skontaktować się z lekarzem weterynarii."},
]
prompt = tokenizer.apply_chat_template(messages, add_generation_prompt=True, tokenize=False)
response = generate(model, tokenizer, prompt=prompt, max_tokens=400)
print(response)

Example output

No public sample output is currently declared for this checkpoint. Run the usage example above against your own prompt or audio/image input to inspect behavior.

Comparison with the base model

Aspect	Base	This checkpoint
Lineage	speakleash/Bielik-11B-v2.6-Instruct	Polish veterinary-domain checkpoint in MLX format
Domain emphasis	General instruction behavior from the base family	Veterinary clinical drafting, Polish case reasoning, and practitioner-facing assistance
Published benchmark delta	Not declared in public metadata	Not declared in public metadata

Limitations

• No public benchmarks for this checkpoint are declared in the model metadata.
• No public benchmark claims are made by this card unless listed in the frontmatter.
• Validate outputs on your own domain data before relying on this checkpoint.
• Memory use and speed depend heavily on the exact Apple Silicon generation, unified-memory size, and prompt length.
• Veterinary outputs require review by a licensed veterinarian.

License

apache-2.0. Check the upstream/base model license as well when a base model is declared.

Citation

@misc{libraxisai-svetliq-11b-v3-evolutionary-preview-mlx-q8,
  title = {svetliq-11b-v3-evolutionary-preview-mlx-q8},
  author = {LibraxisAI},
  year = {2026},
  howpublished = {\url{https://huggingface.co/LibraxisAI/svetliq-11b-v3-evolutionary-preview-mlx-q8}},
  note = {MLX checkpoint published by LibraxisAI}
}

Inference tested on

LibraxisAI/mlx-batch-server

Related

• Base model: speakleash/Bielik-11B-v2.6-Instruct

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