Text Generation
MLX
Safetensors
English
gemma3
text-simplification
cefr
lora
A2
gspo
rl
conversational
Instructions to use miguelconner4/claro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use miguelconner4/claro with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("miguelconner4/claro") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use miguelconner4/claro with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "miguelconner4/claro"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "miguelconner4/claro" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "miguelconner4/claro", "messages": [ {"role": "user", "content": "Hello"} ] }'
Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +110 -0
- chat_template.jinja +47 -0
- config.json +18 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +453 -0
- tokenizer.json +3 -0
- tokenizer_config.json +24 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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| 1 |
+
---
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| 2 |
+
license: gemma
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| 3 |
+
base_model: google/gemma-3-4b-it
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| 4 |
+
language:
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| 5 |
+
- en
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| 6 |
+
tags:
|
| 7 |
+
- mlx
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| 8 |
+
- gemma3
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| 9 |
+
- text-simplification
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| 10 |
+
- cefr
|
| 11 |
+
- grpo
|
| 12 |
+
- lora
|
| 13 |
+
pipeline_tag: text2text-generation
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| 14 |
+
---
|
| 15 |
+
|
| 16 |
+
# Claro — a Gemma-3 4B CEFR A2 simplifier
|
| 17 |
+
|
| 18 |
+
*Claro* (Spanish: "clear") is a fine-tuned **Gemma 3 4B Instruct** that rewrites complex English at **CEFR A2**
|
| 19 |
+
(elementary) level while preserving the source's facts. Trained on Apple Silicon
|
| 20 |
+
with MLX (LoRA), via SFT followed by GRPO against a decomposed, mostly-deterministic
|
| 21 |
+
reward.
|
| 22 |
+
|
| 23 |
+
> **Format note:** this is an **MLX** model (converted base:
|
| 24 |
+
> [`mlx-community/gemma-3-4b-it-bf16`](https://huggingface.co/mlx-community/gemma-3-4b-it-bf16)).
|
| 25 |
+
> It loads with `mlx_lm` on Apple Silicon. It is **not** a `transformers`/PyTorch
|
| 26 |
+
> checkpoint. The repo also ships the LoRA adapter under [`adapter/`](./adapter)
|
| 27 |
+
> for applying on top of the base yourself.
|
| 28 |
+
|
| 29 |
+
## Usage (MLX)
|
| 30 |
+
|
| 31 |
+
The model expects its **chat template** with the training **system prompt** — a raw
|
| 32 |
+
prompt string will make it ramble. Replicate the training invocation:
|
| 33 |
+
|
| 34 |
+
```python
|
| 35 |
+
from mlx_lm import load, generate
|
| 36 |
+
|
| 37 |
+
model, tok = load("miguelconner4/gemma-3-4b-cefr-a2-en")
|
| 38 |
+
|
| 39 |
+
SYSTEM = ("Rewrite the user's text in CEFR A2 (Elementary English): short simple "
|
| 40 |
+
"sentences, basic vocabulary, no idioms. Keep all important facts. "
|
| 41 |
+
"Output only the rewritten text.")
|
| 42 |
+
|
| 43 |
+
complex_text = "The edifice, constructed circa 1750, was subsequently designated a historic landmark."
|
| 44 |
+
prompt = tok.apply_chat_template(
|
| 45 |
+
[{"role": "system", "content": SYSTEM},
|
| 46 |
+
{"role": "user", "content": complex_text}],
|
| 47 |
+
tokenize=False, add_generation_prompt=True,
|
| 48 |
+
)
|
| 49 |
+
print(generate(model, tok, prompt=prompt, max_tokens=512, verbose=False))
|
| 50 |
+
# -> "The building was built around 1750. People decided it was important history."
|
| 51 |
+
```
|
| 52 |
+
|
| 53 |
+
## How it was trained
|
| 54 |
+
|
| 55 |
+
1. **SFT** on ~1,500 (complex → A2) paragraph pairs distilled from a frontier model
|
| 56 |
+
over random Wikipedia paragraphs, filtered by LLM judges.
|
| 57 |
+
2. **GRPO** (200 iters, group size 8, GSPO sequence-level importance sampling,
|
| 58 |
+
KL β=0.1) from the SFT checkpoint, against a **cardinal multiplicative reward**:
|
| 59 |
+
|
| 60 |
+
`reward = level_band × vocab × fidelity × format_gates` (each ∈ [0,1]).
|
| 61 |
+
|
| 62 |
+
- `level_band` — deterministic A2 difficulty: readability (Flesch), mean sentence
|
| 63 |
+
length, **passive** and **subordination** density, with bands calibrated to the
|
| 64 |
+
10th–90th percentiles of real A2 reference texts.
|
| 65 |
+
- `vocab` — penalty for off-A2-list words, with gloss-aware exemption (defining a
|
| 66 |
+
hard term in-line is not penalized).
|
| 67 |
+
- `fidelity` — LLM judge, decomposed into fact-level **recall** + **hallucination**
|
| 68 |
+
counts (not a holistic score).
|
| 69 |
+
- `format_gates` — hard pass/fail for markdown / degenerate loops.
|
| 70 |
+
|
| 71 |
+
## Evaluation (30 held-out Wikipedia paragraphs)
|
| 72 |
+
|
| 73 |
+
Difficulty via a DeepSeek mode-of-3 CEFR classifier; faithfulness via an LLM judge
|
| 74 |
+
(fact recall + unsupported-claim count).
|
| 75 |
+
|
| 76 |
+
| metric | this model | SFT-only start |
|
| 77 |
+
|---|---|---|
|
| 78 |
+
| A2 (target) | **70%** | 70% |
|
| 79 |
+
| B1 (too hard) | **6.7%** | 13.3% |
|
| 80 |
+
| A1 (too simple) | 23.3% | 16.7% |
|
| 81 |
+
| hallucination-flag rate | **0.23** | 0.37 |
|
| 82 |
+
| fact recall | 0.985 | 0.993 |
|
| 83 |
+
|
| 84 |
+
GRPO roughly **halved the hallucination rate** of the SFT start while holding A2 and
|
| 85 |
+
*reducing* over-hard (B1) outputs.
|
| 86 |
+
|
| 87 |
+
**De-circularization (judge-swap):** since the model trained against an Anthropic
|
| 88 |
+
judge, faithfulness was re-scored with disjoint judge families. `gpt-4o` agreed the
|
| 89 |
+
trained model hallucinates less; `gemini-3.5-flash` scored it at parity. Net honest
|
| 90 |
+
verdict: **faithfulness held-or-improved, recall preserved (~0.98–1.0) across all
|
| 91 |
+
three judges** — not a clean unanimous gain.
|
| 92 |
+
|
| 93 |
+
## Limitations
|
| 94 |
+
|
| 95 |
+
- **MLX-only** (Apple Silicon). No PyTorch/transformers weights provided.
|
| 96 |
+
- Evaluated at n=30; CEFR classification is genuinely noisy at the A2/B1 boundary
|
| 97 |
+
(judges agree with a strict reference only ~50% of the time there). Treat the
|
| 98 |
+
numbers as ±10pp.
|
| 99 |
+
- ~10–20% of outputs still carry a fidelity slip. The dominant failure mode is
|
| 100 |
+
**subtle attribute/relation errors** (e.g. reversing "older" ↔ "younger sister",
|
| 101 |
+
dropping a qualifier), not wholesale fabrication.
|
| 102 |
+
- English-only; tuned on encyclopedic prose. Out-of-domain text (dialogue, code,
|
| 103 |
+
poetry) is untested.
|
| 104 |
+
|
| 105 |
+
## License
|
| 106 |
+
|
| 107 |
+
Derivative of Google's **Gemma 3**; use is governed by the
|
| 108 |
+
[Gemma Terms of Use](https://ai.google.dev/gemma/terms) and the
|
| 109 |
+
[Gemma Prohibited Use Policy](https://ai.google.dev/gemma/prohibited_use_policy),
|
| 110 |
+
which carry over to this model.
|
chat_template.jinja
ADDED
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@@ -0,0 +1,47 @@
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| 1 |
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{{ bos_token }}
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| 2 |
+
{%- if messages[0]['role'] == 'system' -%}
|
| 3 |
+
{%- if messages[0]['content'] is string -%}
|
| 4 |
+
{%- set first_user_prefix = messages[0]['content'] + '
|
| 5 |
+
|
| 6 |
+
' -%}
|
| 7 |
+
{%- else -%}
|
| 8 |
+
{%- set first_user_prefix = messages[0]['content'][0]['text'] + '
|
| 9 |
+
|
| 10 |
+
' -%}
|
| 11 |
+
{%- endif -%}
|
| 12 |
+
{%- set loop_messages = messages[1:] -%}
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| 13 |
+
{%- else -%}
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| 14 |
+
{%- set first_user_prefix = "" -%}
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| 15 |
+
{%- set loop_messages = messages -%}
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| 16 |
+
{%- endif -%}
|
| 17 |
+
{%- for message in loop_messages -%}
|
| 18 |
+
{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
|
| 19 |
+
{{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
|
| 20 |
+
{%- endif -%}
|
| 21 |
+
{%- if (message['role'] == 'assistant') -%}
|
| 22 |
+
{%- set role = "model" -%}
|
| 23 |
+
{%- else -%}
|
| 24 |
+
{%- set role = message['role'] -%}
|
| 25 |
+
{%- endif -%}
|
| 26 |
+
{{ '<start_of_turn>' + role + '
|
| 27 |
+
' + (first_user_prefix if loop.first else "") }}
|
| 28 |
+
{%- if message['content'] is string -%}
|
| 29 |
+
{{ message['content'] | trim }}
|
| 30 |
+
{%- elif message['content'] is iterable -%}
|
| 31 |
+
{%- for item in message['content'] -%}
|
| 32 |
+
{%- if item['type'] == 'image' -%}
|
| 33 |
+
{{ '<start_of_image>' }}
|
| 34 |
+
{%- elif item['type'] == 'text' -%}
|
| 35 |
+
{{ item['text'] | trim }}
|
| 36 |
+
{%- endif -%}
|
| 37 |
+
{%- endfor -%}
|
| 38 |
+
{%- else -%}
|
| 39 |
+
{{ raise_exception("Invalid content type") }}
|
| 40 |
+
{%- endif -%}
|
| 41 |
+
{{ '<end_of_turn>
|
| 42 |
+
' }}
|
| 43 |
+
{%- endfor -%}
|
| 44 |
+
{%- if add_generation_prompt -%}
|
| 45 |
+
{{'<start_of_turn>model
|
| 46 |
+
'}}
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| 47 |
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{%- endif -%}
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config.json
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{
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| 2 |
+
"model_type": "gemma3",
|
| 3 |
+
"text_config": {
|
| 4 |
+
"hidden_size": 2560,
|
| 5 |
+
"intermediate_size": 10240,
|
| 6 |
+
"model_type": "gemma3_text",
|
| 7 |
+
"num_hidden_layers": 34,
|
| 8 |
+
"rope_scaling": {
|
| 9 |
+
"factor": 8.0,
|
| 10 |
+
"rope_type": "linear"
|
| 11 |
+
},
|
| 12 |
+
"sliding_window": 1024,
|
| 13 |
+
"vocab_size": 262208,
|
| 14 |
+
"num_attention_heads": 8,
|
| 15 |
+
"num_key_value_heads": 4
|
| 16 |
+
},
|
| 17 |
+
"vocab_size": 262208
|
| 18 |
+
}
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model-00001-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:14c4ae4b705d04a51061a7d2f4bc277514d3d4ad4e3a3fe6625b48dd829d9c5d
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| 3 |
+
size 5338068786
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model-00002-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:b15bb4af168a40a12d45123ae7478797703e4d4be1b33f93df1c03f502035939
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| 3 |
+
size 3765020765
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model.safetensors.index.json
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"language_model.model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 440 |
+
"language_model.model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 441 |
+
"language_model.model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 442 |
+
"language_model.model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 443 |
+
"language_model.model.layers.9.post_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 444 |
+
"language_model.model.layers.9.pre_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 445 |
+
"language_model.model.layers.9.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
| 446 |
+
"language_model.model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 447 |
+
"language_model.model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 448 |
+
"language_model.model.layers.9.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
| 449 |
+
"language_model.model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 450 |
+
"language_model.model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 451 |
+
"language_model.model.norm.weight": "model-00002-of-00002.safetensors"
|
| 452 |
+
}
|
| 453 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:daab2354f8a74e70d70b4d1f804939b68a8c9624dd06cb7858e52dd8970e9726
|
| 3 |
+
size 33384567
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"backend": "tokenizers",
|
| 3 |
+
"boi_token": "<start_of_image>",
|
| 4 |
+
"bos_token": "<bos>",
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eoi_token": "<end_of_image>",
|
| 7 |
+
"eos_token": "<eos>",
|
| 8 |
+
"image_token": "<image_soft_token>",
|
| 9 |
+
"is_local": true,
|
| 10 |
+
"mask_token": "<mask>",
|
| 11 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 12 |
+
"model_specific_special_tokens": {
|
| 13 |
+
"boi_token": "<start_of_image>",
|
| 14 |
+
"eoi_token": "<end_of_image>",
|
| 15 |
+
"image_token": "<image_soft_token>"
|
| 16 |
+
},
|
| 17 |
+
"pad_token": "<pad>",
|
| 18 |
+
"processor_class": "Gemma3Processor",
|
| 19 |
+
"sp_model_kwargs": null,
|
| 20 |
+
"spaces_between_special_tokens": false,
|
| 21 |
+
"tokenizer_class": "GemmaTokenizer",
|
| 22 |
+
"unk_token": "<unk>",
|
| 23 |
+
"use_default_system_prompt": false
|
| 24 |
+
}
|