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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

LICENSE

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README.md

@@ -1,3 +1,43 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+license_link: https://huggingface.co/huihui-ai/QwQ-32B-Coder-Fusion-7030/blob/main/LICENSE
+language:
+- en
+pipeline_tag: text-generation
+base_model: 
+ - huihui-ai/QwQ-32B-Preview-abliterated
+ - huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated
+tags:
+- chat
+- abliterated
+- uncensored
+library_name: transformers
+---
+
+# huihui-ai/QwQ-32B-Coder-Fusion-7030
+
+
+## Overview
+`QwQ-32B-Coder-Fusion-78030` is a mixed model that combines the strengths of two powerful Qwen-based models: [huihui-ai/QwQ-32B-Preview-abliterated](https://huggingface.co/huihui-ai/QwQ-32B-Preview-abliterated) and 
+[huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated](https://huggingface.co/huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated).   
+The weights are blended in a 7:3 ratio, with 70% of the weights from QwQ-32B-Preview-abliterated and 30% from the abliterated Qwen2.5-Coder-32B-Instruct-abliterated model.
+**Although it's a simple mix, the model is usable, and no gibberish has appeared**.
+This is an experiment. 
+
+## Model Details
+- **Base Models:**
+  - [huihui-ai/QwQ-32B-Preview-abliterated](https://huggingface.co/huihui-ai/QwQ-32B-Preview-abliterated) (70%)
+  - [huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated](https://huggingface.co/huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated) (30%)
+- **Model Size:** 32B parameters
+- **Architecture:** Qwen 2.5
+- **Mixing Ratio:** 7:3 (QwQ-32B-Preview-abliterated:Qwen2.5-Coder-32B-Instruct-abliterated)
+
+
+## ollama
+
+You can use [huihui_ai/qwq-fusion:32b-7030](https://ollama.com/huihui_ai/qwq-fusion:32b-7030) directly, 
+```
+ollama run huihui_ai/qwq-fusion:32b-7030
+```
+
+Other proportions can be obtained by visiting [huihui_ai/qwq-fusion](https://ollama.com/huihui_ai/qwq-fusion/tags).

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config.json

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+  "_name_or_path": "huihui-ai/QwQ-32B-Preview-abliterated",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
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+  "max_position_embeddings": 32768,
+  "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": 152064
+}

generation_config.json

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+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "4.46.2"
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special_tokens_map.json

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+{
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+}

tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
+size 11421896

tokenizer_config.json

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+}