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.gitattributes

@@ -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 +1,94 @@
+---
+library_name: transformers
+tags:
+- not-for-all-audiences
+- mergekit
+datasets:
+- crestf411/LimaRP-DS
+- Gryphe/Sonnet3.5-Charcard-Roleplay
+- anthracite-org/c2_logs_32k_mistral-v3_v1.2_no_system
+- anthracite-org/kalo-opus-instruct-22k-no-refusal-no-system
+- anthracite-org/kalo-opus-instruct-3k-filtered-no-system
+- anthracite-org/nopm_claude_writing_fixed
+base_model:
+- crestf411/Q2.5-32B-Slush
+base_model_relation: quantized
+---
+## Quantized using the default exllamav3 (0.0.3) quantization process.
+
+- Original model: https://huggingface.co/crestf411/Q2.5-32B-Slush
+- exllamav3: https://github.com/turboderp-org/exllamav3
+---
+
+![slush.jpg](https://huggingface.co/crestf411/L3.1-8B-Slush-v1.1/resolve/main/slush.jpg?)
+
+([GGUFs](https://huggingface.co/mradermacher/Q2.5-32B-Slush-i1-GGUF))
+
+**Slush** is a two-stage model trained with high LoRA dropout, where stage 1 is a pretraining continuation on the base model, aimed at boosting the model's creativity and writing capabilities. This is then merged into the instruction tune model, and stage 2 is a fine tuning step on top of this to further enhance its roleplaying capabilities and/or to repair any damage caused in the stage 1 merge.
+
+This is still early stage. As always, feedback is welcome, and begone if you demand perfection.
+
+The second stage, like the *Sunfall* series, follows the Silly Tavern preset (ChatML), so ymmv in particular if you use some other tool and/or preset.
+
+## Parameter suggestions
+
+I did all my testing with temp 1, min-p 0.1, DRY 0.8, but enabled XTC as context grew and/or the model started saying "the same stuff".
+
+Qwen 2.5 32B Instruct (vanilla) has a strong tendency to start speaking for the user, especially in narrator scenarios. I was unable to properly train this out of the model completely, so you may want to add e.g. "\nYou" as a stopping string, and enable "trim incomplete sentences", especially if you have banned sentences.
+
+The model has a tendency to add an unnecesary final paragraph to responses during roleplay, sort of like a "summary" of how the character is feeling. Keeping it is OK, but it may snowball quickly. Hoping to address this but not sure how.
+
+## Training details
+
+* Stage 1 (continued pretraining)
+  *  Target: Qwen/Qwen2.5-32B (resulting LoRA merged into Qwen/Qwen2.5-32B-Instruct)
+  *  LoRA dropout 0.5 ([motivation](https://arxiv.org/abs/2403.00946))
+  *  LoRA rank 32, alpha 64 ([motivation](https://arxiv.org/abs/2410.21228))
+  *  LR cosine 4e-6
+  *  [LoRA+](https://arxiv.org/abs/2402.12354) with LR Ratio: 15
+  *  Context size: 8192
+  *  Gradient accumulation steps: 4
+  *  Epochs: 1
+* Stage 2 (fine tune)
+  *  Target: Stage 1 model
+  *  LoRA dropout 0.5
+  *  LoRA rank 32, alpha 64
+  *  LR cosine 5e-6 (min 5e-7)
+  *  [LoRA+](https://arxiv.org/abs/2402.12354) with LR Ratio: 15
+  *  Context size: 16384
+  *  Gradient accumulation steps: 4
+  *  Epochs: 1
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method.
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: stage1-model
+    parameters:
+      weight: 1
+      density: 1
+  - model: stage2-model
+    parameters:
+      weight: 1
+      density: 1
+  - model: Qwen/Qwen2.5-32B-Instruct
+    parameters:
+      weight: 0.9
+      density: 0.9
+merge_method: ties
+base_model: Qwen/Qwen2.5-32B
+parameters:
+  weight: 0.9
+  density: 0.9
+  normalize: true
+  int8_mask: true
+tokenizer_source: Qwen/Qwen2.5-32B-Instruct
+dtype: bfloat16
+```

added_tokens.json

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+}

config.json

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+{
+    "_name_or_path": "qlora/base-models/latest-base-qwen2.5-32b",
+    "architectures": [
+        "Qwen2ForCausalLM"
+    ],
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+    "hidden_act": "silu",
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+    "intermediate_size": 27648,
+    "max_position_embeddings": 131072,
+    "max_window_layers": 64,
+    "model_type": "qwen2",
+    "num_attention_heads": 40,
+    "num_hidden_layers": 64,
+    "num_key_value_heads": 8,
+    "rms_norm_eps": 1e-05,
+    "rope_scaling": null,
+    "rope_theta": 1000000.0,
+    "sliding_window": null,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.46.2",
+    "use_cache": true,
+    "use_sliding_window": false,
+    "vocab_size": 151665,
+    "quantization_config": {
+        "quant_method": "exl3",
+        "version": "0.0.3",
+        "bits": 4.0,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 100,
+            "cols": 2048
+        },
+        "out_scales": "auto"
+    }
+}

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special_tokens_map.json

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tokenizer.json

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tokenizer_config.json

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+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- messages[0]['content'] }}\n    {%- else %}\n        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n    {%- endif %}\n    {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else %}\n        {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
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+}