Instructions to use ndgold/Qwen3-0.6B-EasyLanguage-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ndgold/Qwen3-0.6B-EasyLanguage-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3-0.6B-EasyLanguage-4bit ndgold/Qwen3-0.6B-EasyLanguage-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Upload folder using huggingface_hub
Browse files- README.md +4 -58
- config.json +32 -2
- generation_config.json +12 -12
- model.safetensors +1 -1
- tokenizer_config.json +0 -15
README.md
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---
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base_model: Qwen/Qwen3-0.6B
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library_name: mlx
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---
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# Qwen3-0.6B-EasyLanguage (4-bit, MLX)
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LoRA fine-tune of **Qwen/Qwen3-0.6B** that rewrites live speech transcripts into easy-to-read
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registers across **20 language locales** — German (Leichte Sprache), French (FALC), English (Easy/Plain English), Spanish (Lectura Fácil), Easy-to-Read Arabic (Inclusion Europe / Information for All), Letlæst (Inclusion Europe ETR), and more — for the
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[Live Linguist](https://github.com/ngoldbla/live-linguist) on-device captioner.
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Each locale follows its own national / European Easy-to-Read or plain-language standard.
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Quantized to 4-bit for Apple-silicon inference via MLX.
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It splits run-ons into short sentences, drops disfluencies, keeps names/numbers, and
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stays in the input language. Trained on a lean prompt (no few-shots) so the register is
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internalized — shorter prompts, lower live-caption latency.
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## Evaluation (held-out test set; SARI = simplification quality)
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| lang | SARI ft | SARI stock | chrF ft | LID ft | compliance ft |
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| --- | --- | --- | --- | --- | --- |
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| de | 47.89 | 32.98 | 42.26 | 1.0 | 0.99 |
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| fr | 56.93 | 33.31 | 51.19 | 1.0 | 1.0 |
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| es | 59.34 | 36.57 | 54.79 | 1.0 | 0.995 |
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| en | 59.17 | 32.46 | 54.57 | 1.0 | 1.0 |
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| ar | 49.23 | 50.11 | 45.74 | 0.985 | 0.94 |
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| da | 53.12 | 35.58 | 50.24 | 0.995 | 0.94 |
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| et | 49.39 | 30.48 | 52.76 | 1.0 | 1.0 |
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| fi | 50.55 | 35.2 | 56.33 | 1.0 | 0.985 |
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| hi | 52.66 | 35.16 | 45.05 | 0.995 | 0.82 |
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| it | 53.34 | 49.18 | 48.83 | 1.0 | 0.8299 |
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| ja | 8.37 | 8.29 | 40.85 | 1.0 | 0.97 |
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| ko | 49.55 | 43.77 | 40.03 | 1.0 | 0.98 |
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| nl | 51.9 | 38.96 | 48.38 | 0.985 | 0.9 |
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| pt-BR | 55.02 | 37.54 | 52.11 | 1.0 | 0.82 |
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| pt-PT | 57.44 | 38.96 | 58.14 | 1.0 | 0.975 |
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| ru | 50.61 | 41.13 | 49.65 | 1.0 | 0.94 |
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| sk | 50.92 | 40.59 | 46.68 | 1.0 | 0.975 |
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| sv | 53.23 | 40.16 | 55.08 | 0.995 | 0.96 |
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| tr | 51.32 | 31.73 | 49.91 | 0.995 | 0.97 |
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| vi | 59.62 | 41.3 | 58.75 | 1.0 | 0.725 |
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| zh-CN | 8.75 | 8.5 | 51.67 | 0.955 | 0.925 |
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## Usage (MLX)
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```python
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from mlx_lm import load, generate
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model, tok = load("ndgold/Qwen3-0.6B-EasyLanguage-4bit")
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msgs = [{"role":"system","content":"<framework system prompt>"},
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{"role":"user","content":"Original: <utterance>\nRewritten:"}]
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p = tok.apply_chat_template(msgs, add_generation_prompt=True, tokenize=False, enable_thinking=False)
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print(generate(model, tok, prompt=p, max_tokens=96))
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```
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## Sources & licenses
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- **Base model:** Qwen3 (Apache-2.0).
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- **German seed data:** [tum-nlp/German4All-Corpus](https://huggingface.co/datasets/tum-nlp/German4All-Corpus) (German Wikipedia, CC BY-SA).
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- **Synthetic pairs (all other languages + de augmentation):** spoken→easy-language pairs generated by Claude (Anthropic) — Leichte Sprache (de), FALC (fr), Easy/Plain English (en), Lectura Fácil (es), and 25 further locales following each language's Easy-to-Read / plain-language standard (Inclusion Europe "Information for All", Selkokieli, Lättläst, やさしい日本語, ISO 24495-1, …). Every pair is filtered by a deterministic validator suite (per-language sentence-length caps, language-ID, fidelity anchoring, number preservation, anti-parroting).
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- Intended for the **Live Linguist** on-device live-caption simplifier. Not a general chatbot.
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---
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language: en
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library_name: mlx
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pipeline_tag: text-generation
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tags:
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- mlx
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---
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config.json
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"eos_token_id": [
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151645,
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151643
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"max_position_embeddings": 40960,
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"max_window_layers": 28,
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"model_type": "qwen3",
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"rope_theta": 1000000,
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"sliding_window": null,
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"tie_word_embeddings": true,
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"
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"transformers_version": "4.51.0",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151936
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"dtype": "bfloat16",
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"eos_token_id": [
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151645,
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151643
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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],
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"max_position_embeddings": 40960,
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"max_window_layers": 28,
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"model_type": "qwen3",
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"rope_theta": 1000000,
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"sliding_window": null,
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"tie_word_embeddings": true,
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"transformers_version": "4.57.6",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151936
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generation_config.json
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{
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}
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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],
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"pad_token_id": 151643,
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"temperature": 0.6,
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"top_k": 20,
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"top_p": 0.95,
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"transformers_version": "4.57.6"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 335450548
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version https://git-lfs.github.com/spec/v1
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oid sha256:f00c3328b59c3650a1a6f5413f5587e26d15c37b6ae5d75bf1214b40b1889c9a
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size 335450548
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tokenizer_config.json
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"extra_special_tokens": [
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"<|im_start|>",
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"<|object_ref_start|>",
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"<|box_start|>",
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"<|vision_start|>",
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"<|vision_end|>",
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"<|vision_pad|>",
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"<|image_pad|>",
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"<|video_pad|>"
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],
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"is_local": true,
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"local_files_only": false,
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"model_max_length": 131072,
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"is_local": true,
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"local_files_only": false,
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"model_max_length": 131072,
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