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@@ -33,3 +33,4 @@ saved_model/**/* 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
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,86 @@
+---
+base_model: Qwen/Qwen3-8B-Base
+library_name: transformers
+tags:
+- mergekit
+- axolotl
+- unsloth
+- roleplay
+- conversational
+datasets:
+- PygmalionAI/PIPPA
+- Alfitaria/nemotron-ultra-reasoning-synthkink
+- PocketDoc/Dans-Prosemaxx-Gutenberg
+- FreedomIntelligence/Medical-R1-Distill-Data
+- cognitivecomputations/SystemChat-2.0
+- allenai/tulu-3-sft-personas-instruction-following
+- kalomaze/Opus_Instruct_25k
+- simplescaling/s1K-claude-3-7-sonnet
+- ai2-adapt-dev/flan_v2_converted
+- grimulkan/theory-of-mind
+- grimulkan/physical-reasoning
+- nvidia/HelpSteer3
+- nbeerbower/gutenberg2-dpo
+- nbeerbower/gutenberg-moderne-dpo
+- nbeerbower/Purpura-DPO
+- antiven0m/physical-reasoning-dpo
+- allenai/tulu-3-IF-augmented-on-policy-70b
+- NobodyExistsOnTheInternet/system-message-DPO
+---
+
+# Q3-8B-Kintsugi
+
+FIXME: we need a new image
+
+# Overview
+
+***Q3-8B-Kintsugi*** is a roleplaying model finetuned from [Qwen3-8B-Base](https://huggingface.co/Qwen/Qwen3-8B-Base).
+
+During testing, Designant punched well above its weight class in terms of parameters, especially for 1-on-1 roleplaying and general storywriting.
+
+# Quantizations
+
+
+EXL3:
+- TODO!
+
+MLX:
+- TODO!
+
+GGUF:
+- TODO!
+  
+# Usage
+
+- Format is plain-old ChatML (please note that, unlike regular Qwen 3, you do *not* need to prefill empty think tags for it not to reason -- see below).
+
+- Settings used by testers varied, but Fizz and inflatebot used the same settings and system prompt recommended for [GLM4-32B-Neon-v2.](https://huggingface.co/allura-org/GLM4-32B-Neon-v2)
+
+- The official instruction following version of Qwen3-8B was not used as a base. Instruction-following is trained in post-hoc, and "thinking" traces were not included. __As a result of this, "thinking" will not function as intended.__
+
+# Training Process
+
+1. The [base model](https://huggingface.co/Qwen/Qwen3-8B-Base) first went through a supervised finetune on a corpus of instruction following data, roleplay conversations, and human writing based on the [Ink](https://huggingface.co/collections/allura-org/ink-6772fd1442308781594bbabb)/[Bigger Body](https://huggingface.co/collections/allura-org/bigger-body-67b277af0861cec33b54745d)/[Remnant](https://huggingface.co/collections/allura-org/remnant-6817c2113bbb2aed501513d0) lineage.
+
+2. Finally, a KTO reinforcement learning phase steered the model away from the very purple prose the initial merge had, and improved its logical+spatial reasoning and sense of overall "intelligence".
+
+Both stages here are very similar to [Q3-30B-A3B-Designant](https://huggingface.co/allura-org/Q3-30B-A3B-Designant), which went through a very similar process with the same data.
+
+# Credits
+
+- Fizz - Training, Data Wrangling
+
+- Toaster, Mango, Bot, probably others I forgot ;-; - Testing
+
+- inflatebot - original Designant model card that this one was yoinked from
+
+- Artus - Funding
+
+- Alibaba - Making the original model
+
+- Axolotl, Unsloth, Huggingface - Making the frameworks used to train this model (Axolotl was used for the SFT process, and Unsloth+TRL was used for the KTO process)
+
+We would like to thank the Allura community on Discord, especially Curse, Heni, Artus and Mawnipulator, for their companionship and moral support. You all mean the world to us <3
+
+---
+<sup>*`There, God is not.`*</sup>

config.json

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+{
+    "architectures": [
+        "Qwen3ForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": 151643,
+    "eos_token_id": 151643,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 4096,
+    "initializer_range": 0.02,
+    "intermediate_size": 12288,
+    "max_position_embeddings": 32768,
+    "max_window_layers": 36,
+    "model_type": "qwen3",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 36,
+    "num_key_value_heads": 8,
+    "rms_norm_eps": 1e-06,
+    "rope_scaling": null,
+    "rope_theta": 1000000,
+    "sliding_window": null,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.51.0",
+    "use_cache": true,
+    "use_sliding_window": false,
+    "vocab_size": 151936,
+    "quantization_config": {
+        "quant_method": "exl3",
+        "version": "0.0.3",
+        "bits": 4.5,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 100,
+            "cols": 2048
+        },
+        "out_scales": "auto"
+    }
+}

generation_config.json

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+  "transformers_version": "4.37.0"
+}

model.safetensors

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special_tokens_map.json

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tokenizer_config.json

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