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Model: CultriX/Qwen2.5-14B-Brocav3 Source: Original Platform
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README.md
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---
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base_model:
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- qingy2019/Qwen2.5-Math-14B-Instruct
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- djuna/Q2.5-Veltha-14B-0.5
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- CultriX/Qwen2.5-14B-Wernickev3
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- CultriX/Qwenfinity-2.5-14B
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- allknowingroger/QwenSlerp6-14B
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- CultriX/Qwen2.5-14B-Broca
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- sometimesanotion/Qwen2.5-14B-Vimarckoso
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- CultriX/SeQwence-14Bv1
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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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# merge
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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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## Merge Details
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### Merge Method
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This model was merged using the della_linear merge method using [CultriX/Qwen2.5-14B-Wernickev3](https://huggingface.co/CultriX/Qwen2.5-14B-Wernickev3) as a base.
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### Models Merged
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The following models were included in the merge:
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* [qingy2019/Qwen2.5-Math-14B-Instruct](https://huggingface.co/qingy2019/Qwen2.5-Math-14B-Instruct)
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* [djuna/Q2.5-Veltha-14B-0.5](https://huggingface.co/djuna/Q2.5-Veltha-14B-0.5)
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* [CultriX/Qwenfinity-2.5-14B](https://huggingface.co/CultriX/Qwenfinity-2.5-14B)
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* [allknowingroger/QwenSlerp6-14B](https://huggingface.co/allknowingroger/QwenSlerp6-14B)
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* [CultriX/Qwen2.5-14B-Broca](https://huggingface.co/CultriX/Qwen2.5-14B-Broca)
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* [sometimesanotion/Qwen2.5-14B-Vimarckoso](https://huggingface.co/sometimesanotion/Qwen2.5-14B-Vimarckoso)
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* [CultriX/SeQwence-14Bv1](https://huggingface.co/CultriX/SeQwence-14Bv1)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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merge_method: della_linear
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base_model: CultriX/Qwen2.5-14B-Wernickev3
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dtype: bfloat16
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parameters:
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epsilon: 0.012 # Further reduced to ensure ultra-fine parameter scaling for precision.
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lambda: 1.4 # Stronger emphasis on significant model contributions.
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normalize: true # Balances the parameter integration for stability.
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adaptive_merge_parameters:
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task_weights:
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tinyArc: 1.6 # Prioritizes logical reasoning improvements.
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tinyHellaswag: 1.5 # Strengthened contextual understanding and consistency.
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tinyMMLU: 1.65 # Enhanced domain knowledge for multitask benchmarks.
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tinyTruthfulQA: 1.9 # Maximized for accurate factual reasoning and QA.
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tinyTruthfulQA_mc1: 1.7 # Balanced focus for multiple-choice reasoning.
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tinyWinogrande: 1.75 # Advanced reasoning and contextual prediction improvement.
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IFEval: 1.9 # Instruction-following tasks boosted by multitask contributors.
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BBH: 1.7 # Complex reasoning is supported by logical base models.
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MATH: 2.1 # Highest priority, focusing on mathematical excellence.
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GPQA: 1.8 # Boosted graduate-level QA capabilities.
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MUSR: 1.9 # Nuanced multi-step reasoning strengthened further.
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MMLU-PRO: 1.8 # Domain multitask performance maximized.
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smoothing_factor: 0.1 # Precisely tuned for smooth task-specific blending.
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gradient_clipping:
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CultriX/Qwen2.5-14B-Wernickev3: 0.86 # Backbone stability with slightly reduced clipping.
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CultriX/Qwenfinity-2.5-14B: 0.83 # Consistent multitask integration.
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djuna/Q2.5-Veltha-14B-0.5: 0.91 # Strengthened advanced reasoning contributions.
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CultriX/Qwen2.5-14B-Broca: 0.85 # Logical reasoning enhancements stabilized.
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qingy2019/Qwen2.5-Math-14B-Instruct: 0.93 # Mathematically focused tasks maximized.
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CultriX/SeQwence-14Bv1: 0.88 # Generalist multitask support.
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sometimesanotion/Qwen2.5-14B-Vimarckoso: 0.89 # Balanced multi-step reasoning contributions.
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allknowingroger/QwenSlerp6-14B: 0.87 # Contextual and logical reasoning integration refined.
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models:
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- model: CultriX/Qwen2.5-14B-Wernickev3
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parameters:
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weight: 0.26 # Core backbone for multitask reasoning.
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density: 0.7 # Slight increase to preserve critical reasoning parameters.
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- model: CultriX/Qwenfinity-2.5-14B
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parameters:
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weight: 0.23 # Comprehensive multitask performer.
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density: 0.65
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- model: djuna/Q2.5-Veltha-14B-0.5
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parameters:
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weight: 0.22 # Advanced reasoning support for GPQA and MUSR.
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density: 0.72
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- model: CultriX/Qwen2.5-14B-Broca
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parameters:
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weight: 0.15 # Logical reasoning and factual QA enhancements.
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density: 0.65
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- model: qingy2019/Qwen2.5-Math-14B-Instruct
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parameters:
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weight: 0.18 # Mathematical reasoning priority.
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density: 0.73
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- model: CultriX/SeQwence-14Bv1
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parameters:
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weight: 0.14 # Generalist multitask backbone.
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density: 0.63
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- model: sometimesanotion/Qwen2.5-14B-Vimarckoso
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parameters:
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weight: 0.12 # Multi-step reasoning tasks contributor.
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density: 0.6
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- model: allknowingroger/QwenSlerp6-14B
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parameters:
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weight: 0.1 # Contextual reasoning improvements.
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density: 0.62
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tokenizer_source: CultriX/Qwen2.5-14B-Wernickev3
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```
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{
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}
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config.json
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{
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"_name_or_path": "CultriX/Qwen2.5-14B-Wernickev3",
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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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"bos_token_id": 151643,
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"eos_token_id": 151643,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 13824,
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"max_position_embeddings": 131072,
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"max_window_layers": 48,
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"model_type": "qwen2",
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"num_attention_heads": 40,
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"num_hidden_layers": 48,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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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": 151665
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}
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mergekit_config.yml
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merge_method: della_linear
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base_model: CultriX/Qwen2.5-14B-Wernickev3
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dtype: bfloat16
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parameters:
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epsilon: 0.012 # Further reduced to ensure ultra-fine parameter scaling for precision.
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lambda: 1.4 # Stronger emphasis on significant model contributions.
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normalize: true # Balances the parameter integration for stability.
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adaptive_merge_parameters:
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task_weights:
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tinyArc: 1.6 # Prioritizes logical reasoning improvements.
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tinyHellaswag: 1.5 # Strengthened contextual understanding and consistency.
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tinyMMLU: 1.65 # Enhanced domain knowledge for multitask benchmarks.
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tinyTruthfulQA: 1.9 # Maximized for accurate factual reasoning and QA.
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tinyTruthfulQA_mc1: 1.7 # Balanced focus for multiple-choice reasoning.
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tinyWinogrande: 1.75 # Advanced reasoning and contextual prediction improvement.
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IFEval: 1.9 # Instruction-following tasks boosted by multitask contributors.
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BBH: 1.7 # Complex reasoning is supported by logical base models.
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MATH: 2.1 # Highest priority, focusing on mathematical excellence.
|
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GPQA: 1.8 # Boosted graduate-level QA capabilities.
|
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MUSR: 1.9 # Nuanced multi-step reasoning strengthened further.
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MMLU-PRO: 1.8 # Domain multitask performance maximized.
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smoothing_factor: 0.1 # Precisely tuned for smooth task-specific blending.
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gradient_clipping:
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CultriX/Qwen2.5-14B-Wernickev3: 0.86 # Backbone stability with slightly reduced clipping.
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CultriX/Qwenfinity-2.5-14B: 0.83 # Consistent multitask integration.
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djuna/Q2.5-Veltha-14B-0.5: 0.91 # Strengthened advanced reasoning contributions.
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CultriX/Qwen2.5-14B-Broca: 0.85 # Logical reasoning enhancements stabilized.
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qingy2019/Qwen2.5-Math-14B-Instruct: 0.93 # Mathematically focused tasks maximized.
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CultriX/SeQwence-14Bv1: 0.88 # Generalist multitask support.
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sometimesanotion/Qwen2.5-14B-Vimarckoso: 0.89 # Balanced multi-step reasoning contributions.
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allknowingroger/QwenSlerp6-14B: 0.87 # Contextual and logical reasoning integration refined.
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models:
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- model: CultriX/Qwen2.5-14B-Wernickev3
|
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|
parameters:
|
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|
weight: 0.26 # Core backbone for multitask reasoning.
|
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|
density: 0.7 # Slight increase to preserve critical reasoning parameters.
|
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- model: CultriX/Qwenfinity-2.5-14B
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parameters:
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weight: 0.23 # Comprehensive multitask performer.
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density: 0.65
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- model: djuna/Q2.5-Veltha-14B-0.5
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parameters:
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weight: 0.22 # Advanced reasoning support for GPQA and MUSR.
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density: 0.72
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- model: CultriX/Qwen2.5-14B-Broca
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parameters:
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weight: 0.15 # Logical reasoning and factual QA enhancements.
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density: 0.65
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- model: qingy2019/Qwen2.5-Math-14B-Instruct
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parameters:
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weight: 0.18 # Mathematical reasoning priority.
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density: 0.73
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- model: CultriX/SeQwence-14Bv1
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parameters:
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weight: 0.14 # Generalist multitask backbone.
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density: 0.63
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- model: sometimesanotion/Qwen2.5-14B-Vimarckoso
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parameters:
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weight: 0.12 # Multi-step reasoning tasks contributor.
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density: 0.6
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- model: allknowingroger/QwenSlerp6-14B
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parameters:
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weight: 0.1 # Contextual reasoning improvements.
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density: 0.62
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tokenizer_source: CultriX/Qwen2.5-14B-Wernickev3
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oid sha256:0a1468d57b648711fcf5c24788d894aaf973f1e4ce7f32c87cc8653d731ff622
|
||||||
|
size 4954847376
|
||||||
3
model-00006-of-00006.safetensors
Normal file
3
model-00006-of-00006.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:ada6cd003467aeb18f82922400268383aced7ce2a3f80472c86194ade837c149
|
||||||
|
size 4813289432
|
||||||
1
model.safetensors.index.json
Normal file
1
model.safetensors.index.json
Normal file
File diff suppressed because one or more lines are too long
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
|||||||
|
{
|
||||||
|
"additional_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|>"
|
||||||
|
],
|
||||||
|
"eos_token": {
|
||||||
|
"content": "<|im_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"pad_token": {
|
||||||
|
"content": "<|endoftext|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
}
|
||||||
|
}
|
||||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
||||||
|
size 11421896
|
||||||
207
tokenizer_config.json
Normal file
207
tokenizer_config.json
Normal file
@@ -0,0 +1,207 @@
|
|||||||
|
{
|
||||||
|
"add_bos_token": false,
|
||||||
|
"add_prefix_space": false,
|
||||||
|
"added_tokens_decoder": {
|
||||||
|
"151643": {
|
||||||
|
"content": "<|endoftext|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151644": {
|
||||||
|
"content": "<|im_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151645": {
|
||||||
|
"content": "<|im_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151646": {
|
||||||
|
"content": "<|object_ref_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151647": {
|
||||||
|
"content": "<|object_ref_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151648": {
|
||||||
|
"content": "<|box_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151649": {
|
||||||
|
"content": "<|box_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151650": {
|
||||||
|
"content": "<|quad_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151651": {
|
||||||
|
"content": "<|quad_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151652": {
|
||||||
|
"content": "<|vision_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151653": {
|
||||||
|
"content": "<|vision_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151654": {
|
||||||
|
"content": "<|vision_pad|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151655": {
|
||||||
|
"content": "<|image_pad|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151656": {
|
||||||
|
"content": "<|video_pad|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151657": {
|
||||||
|
"content": "<tool_call>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151658": {
|
||||||
|
"content": "</tool_call>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151659": {
|
||||||
|
"content": "<|fim_prefix|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151660": {
|
||||||
|
"content": "<|fim_middle|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151661": {
|
||||||
|
"content": "<|fim_suffix|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151662": {
|
||||||
|
"content": "<|fim_pad|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151663": {
|
||||||
|
"content": "<|repo_name|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151664": {
|
||||||
|
"content": "<|file_sep|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"additional_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|>"
|
||||||
|
],
|
||||||
|
"bos_token": null,
|
||||||
|
"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",
|
||||||
|
"model_max_length": 131072,
|
||||||
|
"pad_token": "<|endoftext|>",
|
||||||
|
"split_special_tokens": false,
|
||||||
|
"tokenizer_class": "Qwen2Tokenizer",
|
||||||
|
"unk_token": null
|
||||||
|
}
|
||||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user