From 766376a6bd91aa20dcc13cabaacce583a89e35e7 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Thu, 22 Oct 2026 14:50:23 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: chartreuse-verte/prose-rewriter-4b-v2.2 Source: Original Platform --- .gitattributes | 38 ++ GGUF/prose-rewriter-4b-v2.2-Q4_K_M.gguf | 3 + GGUF/prose-rewriter-4b-v2.2-Q8_0.gguf | 3 + LICENSE | 661 ++++++++++++++++++++++++ README.md | 287 ++++++++++ chat_template.jinja | 10 + config.json | 71 +++ generation_config.json | 11 + merge_info.json | 21 + model.safetensors | 3 + prompt_contract.json | 5 + tokenizer.json | 3 + tokenizer_config.json | 30 ++ 13 files changed, 1146 insertions(+) create mode 100644 .gitattributes create mode 100644 GGUF/prose-rewriter-4b-v2.2-Q4_K_M.gguf create mode 100644 GGUF/prose-rewriter-4b-v2.2-Q8_0.gguf create mode 100644 LICENSE create mode 100644 README.md create mode 100644 chat_template.jinja create mode 100644 config.json create mode 100644 generation_config.json create mode 100644 merge_info.json create mode 100644 model.safetensors create mode 100644 prompt_contract.json create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..4bee6ce --- /dev/null +++ b/.gitattributes @@ -0,0 +1,38 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +GGUF/prose-rewriter-4b-v2.2-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text +GGUF/prose-rewriter-4b-v2.2-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text diff --git a/GGUF/prose-rewriter-4b-v2.2-Q4_K_M.gguf b/GGUF/prose-rewriter-4b-v2.2-Q4_K_M.gguf new file mode 100644 index 0000000..8cc6c9d --- /dev/null +++ b/GGUF/prose-rewriter-4b-v2.2-Q4_K_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a825458155779edf052315255d0df6b7a56be3d3a566ea57bb21d6c1cb8ba2e3 +size 2716064256 diff --git a/GGUF/prose-rewriter-4b-v2.2-Q8_0.gguf b/GGUF/prose-rewriter-4b-v2.2-Q8_0.gguf new file mode 100644 index 0000000..2bdeb66 --- /dev/null +++ b/GGUF/prose-rewriter-4b-v2.2-Q8_0.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1de2ffd4d1f3a0a1b90bed0fb2b57d524dd8d025ac753e43213e6bc6c77fa3eb +size 4693666816 diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..be3f7b2 --- /dev/null +++ b/LICENSE @@ -0,0 +1,661 @@ + GNU AFFERO GENERAL PUBLIC LICENSE + Version 3, 19 November 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU Affero General Public License is a free, copyleft license for +software and other kinds of works, specifically designed to ensure +cooperation with the community in the case of network server software. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. 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If not, see . + +Also add information on how to contact you by electronic and paper mail. + + If your software can interact with users remotely through a computer +network, you should also make sure that it provides a way for users to +get its source. For example, if your program is a web application, its +interface could display a "Source" link that leads users to an archive +of the code. There are many ways you could offer source, and different +solutions will be better for different programs; see section 13 for the +specific requirements. + + You should also get your employer (if you work as a programmer) or school, +if any, to sign a "copyright disclaimer" for the program, if necessary. +For more information on this, and how to apply and follow the GNU AGPL, see +. diff --git a/README.md b/README.md new file mode 100644 index 0000000..4d8f41e --- /dev/null +++ b/README.md @@ -0,0 +1,287 @@ +--- +license: agpl-3.0 +base_model: Qwen/Qwen3-4B-Base +pipeline_tag: text-generation +language: +- en +tags: +- prose +- rewriting +- style-transfer +- creative-writing +- deslop +- qwen3 +library_name: transformers +--- + +# prose-rewriter-4b-v2.2 + +A paragraph-level **prose rewriter**: it takes prose written by a large model and +re-renders it to be more human, preserving the semantics it was given. + +`Qwen/Qwen3-4B-Base` with a rank-32 LoRA merged in at strength 1.20. + +**A third less repetition.** Every training target that repeats itself -- the +same sentence twice, a phrase said again, three sentences opening on the same +words, `happy, happy` -- is now rejected, so the pool only ever shows the model +the repetition going away. Rewrites that repeat themselves fall from 13.5% to +8.7%. + +**Less unsupported content, less slop vocabulary**, at the same strength as +v2.1. See [Evaluation](#evaluation). + +## Variants + +| Path | Format | Use with | +|---|---|---| +| `/` | safetensors bf16, `qwen3` arch | transformers | +| `GGUF/prose-rewriter-4b-v2.2-Q8_0.gguf` | GGUF Q8_0, 4.69 GB | llama.cpp / llama-cpp-python | +| `GGUF/prose-rewriter-4b-v2.2-Q4_K_M.gguf` | GGUF Q4_K_M, 2.72 GB | llama.cpp / llama-cpp-python | + +The quants carry the chat template and stop on `<|im_end|>`, and the adapted +output head is kept separate from the token embeddings, stored at Q8_0. + +## Prompt format + +``` +<|im_start|>source +{paragraph}<|im_end|> +<|im_start|>rewrite +``` + +The chat template in this repo builds exactly that string, byte for byte, from +one message: + +```python +messages = [{"role": "source", "content": paragraph}] +tok.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) +``` + +It is not a chat model. Every message is rendered as the source paragraph, so a +runtime that probes the template with a `user` message still gets a valid +prompt. Send one message per call. + +## Serving recipe + +Sampled at `temperature=0.9, top_p=0.9`. However, temperature 0.9 hallucinates harder +because this release edits harder than v2. It's recommended you use 0.8-0.85 instead. + +```python +import torch +from transformers import AutoModelForCausalLM, AutoTokenizer + +repo = "chartreuse-verte/prose-rewriter-4b-v2.2" +tok = AutoTokenizer.from_pretrained(repo) +model = AutoModelForCausalLM.from_pretrained(repo, dtype=torch.bfloat16, device_map="cuda").eval() + +def rewrite(paragraph): + text = tok.apply_chat_template( + [{"role": "source", "content": paragraph}], + tokenize=False, add_generation_prompt=True, + ) + ids = tok(text, return_tensors="pt", add_special_tokens=False).input_ids.to(model.device) + out = model.generate(ids, max_new_tokens=512, do_sample=True, temperature=0.9, top_p=0.9) + return tok.decode(out[0, ids.shape[1]:], skip_special_tokens=True).strip() +``` + +Same thing under llama.cpp. The role is `source`, which no chat API models, so +build the string yourself; `<|im_end|>` stops it: + +```bash +llama-cli -m GGUF/prose-rewriter-4b-v2.2-Q8_0.gguf -no-cnv -n 512 --temp 0.9 --top-p 0.9 \ + -p '<|im_start|>source +{paragraph}<|im_end|> +<|im_start|>rewrite +' +``` + +## Input length + +The training pool's median input is 37 words and 80% of it is under 70, so serve +it on anything from a full sentence up. + +The practical floor is about **15 words**. Below it the failure mode is padding, +cutting and fabrication rather than gibberish. Below 80 bytes, pass the text +through unchanged. + +## Evaluation + +Both releases measured **as they ship**, baked at strength 1.20, on 365 held-out +paragraphs of LLM-written prose that neither model saw in training, at +`temperature=0.9, top_p=0.95`, three swipes each. 1,095 generations an arm. + +Pronoun invention numbers for this release, on 400 single-gender roleplay +paragraphs: + +| | v2.1 | v2.2 | +|---|---|---| +| a gendered pronoun the input never licensed | 0.8% | 0.8% | +| ... belonging to the other gender | 0.8% | 0.8% | +| a proper noun the input does not have | 0.3% | 0.3% | + +Paired over the 400 inputs, none of these separates. + +Repetition on the 365 paragraphs -- a rewrite that repeats a sentence, a phrase, +or a sentence opening: + +| | input | v2.1 | v2.2 | +|---|---|---|---| +| any repetition | 2.2% | 13.5% | **8.7%** | +| ... a whole sentence | | 0.4% | 0.3% | +| ... a phrase | | 7.3% | **4.6%** | +| ... a sentence opening (anaphora) | | 4.5% | **2.6%** | + +Paired over the 365 inputs, any repetition falls (t = -3.6), repeated phrases +fall (t = -2.8) and anaphora falls (t = -2.5). + +Structural, on the same paragraphs: + +| | v2.1 | v2.2 | +|---|---|---| +| words changed | 44.0% | 43.7% | +| passed through unchanged | 3.1% | 2.5% | +| near-verbatim outputs | 1.4% | 0.9% | +| below the training edit floor | 35.4% | 35.9% | +| sentence count moved | 75.5% | 79.2% | +| sentence-length variety vs input | +0.115 | +0.116 | +| words kept from the input | 0.616 | 0.620 | +| length preserved | 0.851 | 0.857 | +| truncated below 0.75x | 23.7% | 21.4% | +| repeated 3-grams | 0.005 | 0.004 | + +Paired over the 365 inputs, only sentence count moved separates (t = +2.2). Over +the 303 inputs of 51-90 words, no column does. + +Unsupported content -- a sentence in the rewrite the input does not entail, +scored by NLI with the input alone as the premise: + +| | v2.1 | v2.2 | +|---|---|---| +| unsupported sentences, mean per rewrite | 12.7% | **11.1%** | +| unsupported sentences, all rewrites | 11.5% | **10.2%** | +| coverage of the input (reverse entailment) | 0.487 | 0.484 | + +Paired over the 365 inputs, the unsupported rate falls (t = -2.3); coverage +does not move. + +The register numbers on the same paragraphs, against the input: + +| | input | v2.1 | v2.2 | human corpus | +|---|---|---|---|---| +| banned constructions /1k | 7.52 | 2.51 | 2.50 | 0.00 | +| slop lexicon density | 0.081 | 0.048 | **0.044** | 0.019 | +| purple score | 0.498 | 0.314 | 0.316 | -- | + +Paired over all 365 inputs, lexicon density falls (t = -2.6). Banned +constructions and purple do not separate. + +Dialogue: the number of spoken lines changes on 1.6% of rewrites against v2.1's +0.8% (t = +1.7, does not separate), and of the rewrites whose input carried +quoted speech, 1.0% lost the quotes entirely -- the same for both. + +Markup round-trip on 365 tagged paragraphs -- every marker handed back in order, +with the same counts: 79.5% for v2.1, 78.1% here. + +### A note on strength + +Every number above is measured at the strength the release is baked at, which is +not the same as measuring the adapter. LoRA strength is spent at merge time +(`W + (B @ A) * 2.40` here), and the metrics move with it: read at the adapter's +natural 1.0 this same checkpoint is a materially different artifact. + +Both releases ship at 1.20, so every difference above is the training pool and +not the strength. 1.20 is where banned constructions bottomed out on the +strength sweep: 1.15 carries a third more of them. + +## Training + +**Corrupt forward, train backward.** The human paragraph is the target; an +on-policy LLM manufactures the input by slop-ifying it. + +The target side is human prose: published contemporary literary fiction, +r/WritingPrompts +([`Mollymo/Human-to-AI-writing`](https://huggingface.co/datasets/Mollymo/Human-to-AI-writing)), +AO3 +([`midwestern-simulation-active/ao3_random_subset`](https://huggingface.co/datasets/midwestern-simulation-active/ao3_random_subset)), +a scrape of `bluemoonroleplaying.com` -- the only human writing in the pool +already in the deployment's own register -- and a sliver of fanfiction.net +([`atom-in-the-universe/fanfics-10k-10k`](https://huggingface.co/datasets/atom-in-the-universe/fanfics-10k-10k)). + +The input side is manufactured from those targets, weighted and share-capped so +that no single generator's tics dominate: + +| pool axis | composition | +|---|---| +| rows | 15,290 over 10,982 distinct target paragraphs | +| corruption band | medium 35%, heavy 31%, light 30%, identity/no-op 3%, curated real slop 1% | +| `len_mode` | match only | +| markup | 15% of rows, identical on both sides | +| kind | prose 91%, dialogue 8%, structural no-ops 1% | +| target source | published fiction 39%, r/WritingPrompts 29%, AO3 20%, roleplay forum 8%, other 4% | + +Pairs pass invariant gates before they reach the GPU: POV, tense, who is in the +scene, the gender of who is in the scene, the number of spoken lines, +grammatical correctness on the target side, no repetition on the target side, +content recall stratified by target length, and NLI entailment both ways. Two further screens shape what reaches +training -- a floor on how much a pair actually changes, and a floor on the +sentence-length variety of the target, applied at a higher threshold for long +paragraphs than short ones. + +**Loss on the target paragraph only.** Everything before `rewrite` is masked. + +| | | +|---|---| +| LoRA | r=32, alpha=64, dropout 0.05 | +| target modules | q, k, v, o, gate, up, down, **and `lm_head`** | +| trainable | 71,004,160 params (1.73%) | +| schedule | 2 epochs, lr 1e-4 cosine, batch 8 × accum 4, seq 2048 | +| steps | 920 on one RTX 3090 | + +## The merge + +Merged at strength 1.20. Rank 32 with alpha 64 is a LoRA scaling of 2.0, so the +effective scaling is **2.40**: `W + (B @ A) * 2.40`. Merged in float32, stored +bfloat16. + +`lm_head` is adapted, and `Qwen3-4B-Base` ties `lm_head.weight` to +`embed_tokens.weight`. **This checkpoint is untied**: the merged output head is +stored separately and the input embeddings are bit-identical to the base +model's, which is what training assumed. `config.json` says +`tie_word_embeddings: false` and it means it. Do not re-tie it, and if you +convert to another format, check that the head survived. + +## Limitations + +- **Not an instruct model.** It has one job and one prompt. There is nothing to + ask it. +- **Works on fictional prose only.** May not work on technical documentation. +- **One paragraph per call.** Longer input degrades; split it. +- **Still invents people occasionally.** A phantom pronoun appears in 0.8% of + rewrites. Check the output when the cast matters. +- **Truncates.** It drops below 0.75x the input's length on 21.4% of paragraphs. + Usually that is the slop going; check the output when length matters. +- **Still repeats itself.** 8.7% of rewrites repeat a sentence, a phrase or a + sentence opening the input did not. Check the output for loops. +- **Will not pass AI detectors.** Pangram and such will still know because this + model preserves word choices and certain sentence structures. +- **English only**, narrative register (third and first person fiction, dialogue + with quoted speech). +- **Short input pads, cuts and invents.** The floor is about 15 words. See + [Input length](#input-length). +- **Repeats a noun sooner than an LLM would.** Human prose reuses a plain noun + where generated prose uses a synonym, and this model has learned that habit. + +## License + +The weights in this repository are released under the **GNU Affero General +Public License, version 3**. The full text is in `LICENSE`. + +This is a derivative of [`Qwen/Qwen3-4B-Base`](https://huggingface.co/Qwen/Qwen3-4B-Base), +which is licensed under **Apache License 2.0**. That license is preserved and +its terms continue to apply to the base weights this model was built from; the +AGPL covers the combined work as distributed here. Apache-2.0 is one-way +compatible with AGPLv3, which is what makes this combination possible. + +If you run a modified version of this model as a network service, AGPL section +13 requires you to offer the corresponding source of your modifications to its +users. diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..64c27cd --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,10 @@ +{#- prose-rewriter: the deployment contract, byte for byte. -#} +{%- for message in messages %} + {{- '<|im_start|>source +' + message.content + '<|im_end|> +' }} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|im_start|>rewrite +' }} +{%- endif %} diff --git a/config.json b/config.json new file mode 100644 index 0000000..66cbf59 --- /dev/null +++ b/config.json @@ -0,0 +1,71 @@ +{ + "architectures": [ + "Qwen3ForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151643, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 2560, + "initializer_range": 0.02, + "intermediate_size": 9728, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 32768, + "max_window_layers": 36, + "model_type": "qwen3", + "num_attention_heads": 32, + "num_hidden_layers": 36, + "num_key_value_heads": 8, + "pad_token_id": null, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "rope_theta": 1000000, + "rope_type": "default" + }, + "sliding_window": null, + "tie_word_embeddings": false, + "transformers_version": "5.13.0", + "use_cache": true, + "use_sliding_window": false, + "vocab_size": 151936 +} diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..39bf60b --- /dev/null +++ b/generation_config.json @@ -0,0 +1,11 @@ +{ + "bos_token_id": 151643, + "do_sample": false, + "eos_token_id": [ + 151645, + 151643 + ], + "max_new_tokens": 2048, + "pad_token_id": 151643, + "transformers_version": "5.13.0" +} diff --git a/merge_info.json b/merge_info.json new file mode 100644 index 0000000..cdf64a4 --- /dev/null +++ b/merge_info.json @@ -0,0 +1,21 @@ +{ + "name": "prose-rewriter-4b-v2.2", + "base_model": "Qwen/Qwen3-4B-Base", + "adapter": "runs/rw4b-v13/final", + "adapter_sha256": "3d713c66ece38a4101f8c04a75589fdec3acbab0d87ecd147178ecb169c1777c", + "lora_scale": 1.2, + "lora_rank": 32, + "lora_alpha": 64, + "effective_scaling": 2.4, + "merge_dtype": "torch.float32", + "save_dtype": "torch.bfloat16", + "untied_lm_head": true, + "edit_block": false, + "edit_mode": null, + "eos_token_id": [ + 151645, + 151643 + ], + "repo_commit": "442028e", + "merged_on": "2026-10-01" +} diff --git a/model.safetensors b/model.safetensors new file mode 100644 index 0000000..d737c38 --- /dev/null +++ b/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:614f96af48e76924843790fa910eaa021f1ea2049cb2e6125d7a5528111b6dc9 +size 8822894520 diff --git a/prompt_contract.json b/prompt_contract.json new file mode 100644 index 0000000..5c351f8 --- /dev/null +++ b/prompt_contract.json @@ -0,0 +1,5 @@ +{ + "edit_block": false, + "modes": [], + "default_mode": null +} diff --git a/tokenizer.json b/tokenizer.json new file mode 100644 index 0000000..c7afbed --- /dev/null +++ b/tokenizer.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506 +size 11422650 diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..5668a4a --- /dev/null +++ b/tokenizer_config.json @@ -0,0 +1,30 @@ +{ + "add_prefix_space": false, + "backend": "tokenizers", + "bos_token": null, + "clean_up_tokenization_spaces": false, + "eos_token": "<|im_end|>", + "errors": "replace", + "extra_special_tokens": [ + "<|im_start|>", + "<|im_end|>", + "<|object_ref_start|>", + "<|object_ref_end|>", + "<|box_start|>", + "<|box_end|>", + "<|quad_start|>", + "<|quad_end|>", + "<|vision_start|>", + "<|vision_end|>", + "<|vision_pad|>", + "<|image_pad|>", + "<|video_pad|>" + ], + "is_local": true, + "local_files_only": false, + "model_max_length": 131072, + "pad_token": "<|endoftext|>", + "split_special_tokens": false, + "tokenizer_class": "Qwen2Tokenizer", + "unk_token": null +}