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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ base_model:
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+ - allura-org/Qwen2.5-32b-RP-Ink
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+ - huihui-ai/QwQ-32B-Preview-abliterated
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+ - AiCloser/Qwen2.5-32B-AGI
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+ - Kaoeiri/Qwenwify-32B-v3
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+ - Saxo/Linkbricks-Horizon-AI-Japanese-Base-32B
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+ - Sao10K/32B-Qwen2.5-Kunou-v1
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+ - EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
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+ - huihui-ai/Qwen2.5-32B-Instruct-abliterated
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+ - OpenBuddy/openbuddy-qwq-32b-v24.2-200k
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+ - Qwen/Qwen2.5-32B-Instruct
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+ - Dans-DiscountModels/Qwen2.5-32B-ChatML
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+ library_name: transformers
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+ tags:
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+ - mergekit
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+ - merge
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+
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+ ---
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+ # merge
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+
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+ This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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+
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+ ## Merge Details
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+ ### Merge Method
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+
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+ This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [Qwen/Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) as a base.
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+
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+ ### Models Merged
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+
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+ The following models were included in the merge:
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+ * [allura-org/Qwen2.5-32b-RP-Ink](https://huggingface.co/allura-org/Qwen2.5-32b-RP-Ink)
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+ * [huihui-ai/QwQ-32B-Preview-abliterated](https://huggingface.co/huihui-ai/QwQ-32B-Preview-abliterated)
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+ * [AiCloser/Qwen2.5-32B-AGI](https://huggingface.co/AiCloser/Qwen2.5-32B-AGI)
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+ * [Kaoeiri/Qwenwify-32B-v3](https://huggingface.co/Kaoeiri/Qwenwify-32B-v3)
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+ * [Saxo/Linkbricks-Horizon-AI-Japanese-Base-32B](https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Japanese-Base-32B)
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+ * [Sao10K/32B-Qwen2.5-Kunou-v1](https://huggingface.co/Sao10K/32B-Qwen2.5-Kunou-v1)
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+ * [EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2)
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+ * [huihui-ai/Qwen2.5-32B-Instruct-abliterated](https://huggingface.co/huihui-ai/Qwen2.5-32B-Instruct-abliterated)
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+ * [OpenBuddy/openbuddy-qwq-32b-v24.2-200k](https://huggingface.co/OpenBuddy/openbuddy-qwq-32b-v24.2-200k)
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+ * [Dans-DiscountModels/Qwen2.5-32B-ChatML](https://huggingface.co/Dans-DiscountModels/Qwen2.5-32B-ChatML)
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+
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+ ### Configuration
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+
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+ The following YAML configuration was used to produce this model:
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+
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+ ```yaml
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+ models:
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+ - model: Kaoeiri/Qwenwify-32B-v3
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+ parameters:
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+ weight: 1.0
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+ density: 0.86
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+ - model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
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+ parameters:
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+ weight: 0.50
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+ density: 0.42
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+ - model: Sao10K/32B-Qwen2.5-Kunou-v1
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+ parameters:
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+ weight: 0.30
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+ density: 0.75
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+ - model: Dans-DiscountModels/Qwen2.5-32B-ChatML
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+ parameters:
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+ weight: 0.10
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+ density: 0.65
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+ - model: OpenBuddy/openbuddy-qwq-32b-v24.2-200k
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+ parameters:
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+ weight: 0.25
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+ density: 0.75
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+ - model: Saxo/Linkbricks-Horizon-AI-Japanese-Base-32B
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+ parameters:
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+ weight: 0.20
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+ density: 0.82
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+ - model: allura-org/Qwen2.5-32b-RP-Ink
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+ parameters:
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+ weight: 0.28
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+ density: 0.78
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+ - model: AiCloser/Qwen2.5-32B-AGI
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+ parameters:
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+ weight: 0.12
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+ density: 0.68
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+ - model: huihui-ai/QwQ-32B-Preview-abliterated
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+ parameters:
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+ weight: 0.14
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+ density: 0.65
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+ - model: huihui-ai/Qwen2.5-32B-Instruct-abliterated
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+ parameters:
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+ weight: 0.23
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+ density: 0.75
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+
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+ merge_method: dare_ties
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+ base_model: Qwen/Qwen2.5-32B-Instruct
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+ parameters:
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+ density: 0.90
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+ epsilon: 0.07
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+ lambda: 1.35
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+ random_seed: 42
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+ dtype: bfloat16
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+ tokenizer_source: union
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+
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+ ```
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+ }
config.json ADDED
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+ {
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+ "_name_or_path": "Qwen/Qwen2.5-32B-Instruct",
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+ "architectures": [
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+ "Qwen2ForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "max_position_embeddings": 32768,
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+ "max_window_layers": 70,
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+ "model_type": "qwen2",
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+ "num_attention_heads": 40,
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+ "num_hidden_layers": 64,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-06,
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+ "rope_scaling": null,
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+ "rope_theta": 1000000.0,
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+ "sliding_window": null,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.46.2",
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+ "use_cache": true,
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+ "use_sliding_window": false,
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+ "vocab_size": 151679
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+ }
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+ models:
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+ - model: Kaoeiri/Qwenwify-32B-v3
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+ parameters:
4
+ weight: 1.0
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+ density: 0.86
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+ - model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
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+ parameters:
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+ weight: 0.50
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+ density: 0.42
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+ - model: Sao10K/32B-Qwen2.5-Kunou-v1
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+ parameters:
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+ weight: 0.30
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+ density: 0.75
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+ - model: Dans-DiscountModels/Qwen2.5-32B-ChatML
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+ parameters:
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+ weight: 0.10
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+ density: 0.65
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+ - model: OpenBuddy/openbuddy-qwq-32b-v24.2-200k
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+ parameters:
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+ weight: 0.25
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+ density: 0.75
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+ - model: Saxo/Linkbricks-Horizon-AI-Japanese-Base-32B
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+ parameters:
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+ weight: 0.20
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+ density: 0.82
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+ - model: allura-org/Qwen2.5-32b-RP-Ink
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+ parameters:
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+ weight: 0.28
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+ density: 0.78
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+ - model: AiCloser/Qwen2.5-32B-AGI
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+ parameters:
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+ weight: 0.12
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+ density: 0.68
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+ - model: huihui-ai/QwQ-32B-Preview-abliterated
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+ parameters:
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+ weight: 0.14
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+ density: 0.65
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+ - model: huihui-ai/Qwen2.5-32B-Instruct-abliterated
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+ parameters:
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+ weight: 0.23
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+ density: 0.75
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+
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+ merge_method: dare_ties
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+ base_model: Qwen/Qwen2.5-32B-Instruct
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+ parameters:
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+ density: 0.90
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+ epsilon: 0.07
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+ lambda: 1.35
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+ random_seed: 42
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+ dtype: bfloat16
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+ tokenizer_source: union
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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",
311
+ "clean_up_tokenization_spaces": false,
312
+ "eos_token": "<|im_end|>",
313
+ "errors": "replace",
314
+ "model_max_length": 131072,
315
+ "pad_token": "<|endoftext|>",
316
+ "split_special_tokens": false,
317
+ "tokenizer_class": "Qwen2Tokenizer",
318
+ "unk_token": null
319
+ }
vocab.json ADDED
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