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.gitattributes CHANGED
@@ -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
README.md ADDED
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+ ---
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+ license: gemma
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+ base_model: google/gemma-3-4b-it
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+ language:
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+ - en
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+ tags:
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+ - mlx
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+ - gemma3
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+ - text-simplification
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+ - cefr
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+ - grpo
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+ - lora
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+ pipeline_tag: text2text-generation
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+ ---
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+
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+ # Claro — a Gemma-3 4B CEFR A2 simplifier
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+
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+ *Claro* (Spanish: "clear") is a fine-tuned **Gemma 3 4B Instruct** that rewrites complex English at **CEFR A2**
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+ (elementary) level while preserving the source's facts. Trained on Apple Silicon
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+ with MLX (LoRA), via SFT followed by GRPO against a decomposed, mostly-deterministic
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+ reward.
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+
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+ > **Format note:** this is an **MLX** model (converted base:
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+ > [`mlx-community/gemma-3-4b-it-bf16`](https://huggingface.co/mlx-community/gemma-3-4b-it-bf16)).
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+ > It loads with `mlx_lm` on Apple Silicon. It is **not** a `transformers`/PyTorch
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+ > checkpoint. The repo also ships the LoRA adapter under [`adapter/`](./adapter)
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+ > for applying on top of the base yourself.
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+
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+ ## Usage (MLX)
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+
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+ The model expects its **chat template** with the training **system prompt** — a raw
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+ prompt string will make it ramble. Replicate the training invocation:
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+
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+ ```python
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+ from mlx_lm import load, generate
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+
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+ model, tok = load("miguelconner4/gemma-3-4b-cefr-a2-en")
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+
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+ SYSTEM = ("Rewrite the user's text in CEFR A2 (Elementary English): short simple "
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+ "sentences, basic vocabulary, no idioms. Keep all important facts. "
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+ "Output only the rewritten text.")
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+
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+ complex_text = "The edifice, constructed circa 1750, was subsequently designated a historic landmark."
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+ prompt = tok.apply_chat_template(
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+ [{"role": "system", "content": SYSTEM},
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+ {"role": "user", "content": complex_text}],
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+ tokenize=False, add_generation_prompt=True,
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+ )
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+ print(generate(model, tok, prompt=prompt, max_tokens=512, verbose=False))
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+ # -> "The building was built around 1750. People decided it was important history."
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+ ```
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+
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+ ## How it was trained
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+
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+ 1. **SFT** on ~1,500 (complex → A2) paragraph pairs distilled from a frontier model
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+ over random Wikipedia paragraphs, filtered by LLM judges.
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+ 2. **GRPO** (200 iters, group size 8, GSPO sequence-level importance sampling,
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+ KL β=0.1) from the SFT checkpoint, against a **cardinal multiplicative reward**:
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+
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+ `reward = level_band × vocab × fidelity × format_gates` (each ∈ [0,1]).
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+
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+ - `level_band` — deterministic A2 difficulty: readability (Flesch), mean sentence
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+ length, **passive** and **subordination** density, with bands calibrated to the
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+ 10th–90th percentiles of real A2 reference texts.
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+ - `vocab` — penalty for off-A2-list words, with gloss-aware exemption (defining a
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+ hard term in-line is not penalized).
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+ - `fidelity` — LLM judge, decomposed into fact-level **recall** + **hallucination**
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+ counts (not a holistic score).
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+ - `format_gates` — hard pass/fail for markdown / degenerate loops.
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+
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+ ## Evaluation (30 held-out Wikipedia paragraphs)
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+
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+ Difficulty via a DeepSeek mode-of-3 CEFR classifier; faithfulness via an LLM judge
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+ (fact recall + unsupported-claim count).
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+
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+ | metric | this model | SFT-only start |
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+ |---|---|---|
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+ | A2 (target) | **70%** | 70% |
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+ | B1 (too hard) | **6.7%** | 13.3% |
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+ | A1 (too simple) | 23.3% | 16.7% |
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+ | hallucination-flag rate | **0.23** | 0.37 |
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+ | fact recall | 0.985 | 0.993 |
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+
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+ GRPO roughly **halved the hallucination rate** of the SFT start while holding A2 and
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+ *reducing* over-hard (B1) outputs.
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+
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+ **De-circularization (judge-swap):** since the model trained against an Anthropic
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+ judge, faithfulness was re-scored with disjoint judge families. `gpt-4o` agreed the
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+ trained model hallucinates less; `gemini-3.5-flash` scored it at parity. Net honest
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+ verdict: **faithfulness held-or-improved, recall preserved (~0.98–1.0) across all
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+ three judges** — not a clean unanimous gain.
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+
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+ ## Limitations
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+
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+ - **MLX-only** (Apple Silicon). No PyTorch/transformers weights provided.
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+ - Evaluated at n=30; CEFR classification is genuinely noisy at the A2/B1 boundary
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+ (judges agree with a strict reference only ~50% of the time there). Treat the
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+ numbers as ±10pp.
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+ - ~10–20% of outputs still carry a fidelity slip. The dominant failure mode is
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+ **subtle attribute/relation errors** (e.g. reversing "older" ↔ "younger sister",
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+ dropping a qualifier), not wholesale fabrication.
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+ - English-only; tuned on encyclopedic prose. Out-of-domain text (dialogue, code,
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+ poetry) is untested.
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+
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+ ## License
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+
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+ Derivative of Google's **Gemma 3**; use is governed by the
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+ [Gemma Terms of Use](https://ai.google.dev/gemma/terms) and the
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+ [Gemma Prohibited Use Policy](https://ai.google.dev/gemma/prohibited_use_policy),
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+ which carry over to this model.
chat_template.jinja ADDED
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+ {{ bos_token }}
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+ {%- if messages[0]['role'] == 'system' -%}
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+ {%- if messages[0]['content'] is string -%}
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+ {%- set first_user_prefix = messages[0]['content'] + '
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+
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+ ' -%}
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+ {%- else -%}
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+ {%- set first_user_prefix = messages[0]['content'][0]['text'] + '
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+
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+ ' -%}
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+ {%- endif -%}
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+ {%- set loop_messages = messages[1:] -%}
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+ {%- else -%}
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+ {%- set first_user_prefix = "" -%}
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+ {%- set loop_messages = messages -%}
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+ {%- endif -%}
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+ {%- for message in loop_messages -%}
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+ {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
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+ {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
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+ {%- endif -%}
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+ {%- if (message['role'] == 'assistant') -%}
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+ {%- set role = "model" -%}
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+ {%- else -%}
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+ {%- set role = message['role'] -%}
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+ {%- endif -%}
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+ {{ '<start_of_turn>' + role + '
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+ ' + (first_user_prefix if loop.first else "") }}
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+ {%- if message['content'] is string -%}
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+ {{ message['content'] | trim }}
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+ {%- elif message['content'] is iterable -%}
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+ {%- for item in message['content'] -%}
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+ {%- if item['type'] == 'image' -%}
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+ {{ '<start_of_image>' }}
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+ {%- elif item['type'] == 'text' -%}
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+ {{ item['text'] | trim }}
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+ {%- endif -%}
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+ {%- endfor -%}
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+ {%- else -%}
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+ {{ raise_exception("Invalid content type") }}
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+ {%- endif -%}
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+ {{ '<end_of_turn>
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+ ' }}
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+ {%- endfor -%}
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+ {%- if add_generation_prompt -%}
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+ {{'<start_of_turn>model
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+ '}}
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+ {%- endif -%}
config.json ADDED
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+ {
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+ "model_type": "gemma3",
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+ "text_config": {
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+ "hidden_size": 2560,
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+ "intermediate_size": 10240,
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+ "model_type": "gemma3_text",
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+ "num_hidden_layers": 34,
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+ "rope_scaling": {
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+ "factor": 8.0,
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+ "rope_type": "linear"
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+ },
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+ "sliding_window": 1024,
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+ "vocab_size": 262208,
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+ "num_attention_heads": 8,
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+ "num_key_value_heads": 4
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+ },
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+ "vocab_size": 262208
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+ }
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