card: full rewrite from canonical template

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license: apache-2.0
language:
  - pl
base_model:
  - speakleash/Bielik-11B-v2.6-Instruct
library_name: mlx
pipeline_tag: text-generation
tags:
  - mlx
  - veterinary
  - medical
  - polish
  - reasoning
  - clinical-ai
  - bielik
  - fine-tuned
  - sophisticated-merge
  - model-soup
  - evolutionary
  - v3
  - apple-silicon
  - clinical
  - quantized
  - q8
inference: false
widget:
  - text: Wyjaśnij krótko różnicę między diagnostyką różnicową a rozpoznaniem.
    example_title: Polish instruction prompt
  - text: Podsumuj najważniejsze ryzyka w planie wdrożenia.
    example_title: Polish reasoning prompt

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

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

LibraxisAI
/

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