| --- |
| license: apache-2.0 |
| base_model_relation: finetune |
| language: |
| - fa |
| base_model: artindnr/ChatBerry-1.1 |
| tags: |
| - persian |
| - farsi |
| - poetry |
| - poem-generation |
| - gpt-oss |
| - lora |
| - chatberry |
| - sarv |
| - mixture-of-experts |
| - mxfp4 |
| - text-generation |
| - pytorch |
| - jax |
| - tf |
| pipeline_tag: text-generation |
| --- |
| |
| # 🌲Sarv-Non-Reasoning |
|  |
|
|
| **سرو** (Sarv, "cypress tree") — a poem-generation specialist fine-tuned on top of [ChatBerry-1.1](https://huggingface.co/artindnr/chatberry-1.1), tuned specifically to produce Persian poetry directly, without chain-of-thought. |
|
|
| ## Model Description |
|
|
| Sarv-Non-Reasoning is the direct-generation member of the Sarv family. It inherits ChatBerry-1.1's suppressed-CoT chat behavior (single `final`-channel output, no exposed `analysis` channel) and is further specialized on poem-generation data so that a request for a ghazal, robaiyat, or free-verse poem is answered with the poem itself — no reasoning trace, no scaffolding, no commentary unless asked. |
|
|
| This model is intended for users who want fast, low-latency poem generation and don't need to inspect or steer the model's reasoning process. |
|
|
| - **Base model:** [artindnr/chatberry-1.1](https://huggingface.co/artindnr/chatberry-1.1) (itself built on Strawberry-1, `gpt_oss` 21B, MXFP4) |
| - **Fine-tuning method:** LoRA, merged into base weights for release |
| - **Reasoning behavior:** disabled — model emits only the `final` channel |
| - **Specialization:** Persian poem generation (classical + free forms) |
| - **Language:** Persian (fa) |
|
|
|
|
| ## Training Procedure |
|
|
| Single-stage supervised fine-tuning via LoRA on the ChatBerry-1.1 checkpoint, with training examples formatted so the assistant turn contains only the poem (Harmony `final` channel), reinforcing the non-reasoning behavior already present in ChatBerry-1.1 while narrowing the output distribution toward well-formed Persian verse (meter-aware ghazal/robai structure, appropriate radif/qafiyeh where applicable). |
|
|
| Adapters were merged post-training and exported in BF16 and MXFP4 formats, consistent with the rest of the ChatBerry/Strawberry release pattern. |
|
|
| ## Usage |
|
|
| ```python |
| from transformers import AutoModelForCausalLM, AutoTokenizer |
| |
| model_id = "artindnr/sarv-non-reasoning" |
| tokenizer = AutoTokenizer.from_pretrained(model_id) |
| model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto") |
| |
| messages = [ |
| {"role": "user", "content": "یک غزل دربارهی جدایی بنویس"} |
| ] |
| |
| inputs = tokenizer.apply_chat_template( |
| messages, add_generation_prompt=True, return_tensors="pt" |
| ).to(model.device) |
| |
| outputs = model.generate(inputs, max_new_tokens=512) |
| print(tokenizer.decode(outputs[0][inputs.shape[-1]:], skip_special_tokens=True)) |
| ``` |
|
|
| Because reasoning is suppressed, no `analysis` channel content is produced — the full generation is the poem itself, so no channel-parsing/stripping step is needed downstream. |
|
|
| ## Intended Use |
|
|
| - Direct Persian poem generation (ghazal, robai, free verse) from a prompt or theme |
| - Low-latency creative writing assistants, chatbots, Telegram bots |
| - Not intended for tasks requiring visible reasoning, step-by-step critique, or poem *analysis* — see `sarv-reasoning` for that |
|
|
| ## Limitations |
|
|
| - No exposed reasoning trace; if you need to audit *why* a poem was structured a certain way, use `sarv-reasoning` or `sarv-hybrid` instead |
| - Inherits any biases/limitations present in ChatBerry-1.1 and the underlying Strawberry-1 base |
| - Classical meter (aruz) adherence is best-effort, not guaranteed exact |
|
|
| ## License |
|
|
| Apache 2.0, consistent with the base `gpt_oss` license chain. |
|
|
| ## Citation |
|
|
| If you use this model, please cite the Sarv, ChatBerry, and Strawberry-1 model cards on Hugging Face (`artindnr`). |
