|
--- |
|
base_model: |
|
- qingy2024/Fusion4-14B-Instruct |
|
- sometimesanotion/Lamarck-14B-v0.6 |
|
- allknowingroger/QwenSlerp6-14B |
|
- CultriX/SeQwence-14B-EvolMerge |
|
- CultriX/Qwen2.5-14B-Wernickev3 |
|
- hotmailuser/QwenSlerp2-14B |
|
- CultriX/Qwen2.5-14B-Emerged |
|
- djuna/Q2.5-Veltha-14B-0.5 |
|
library_name: transformers |
|
tags: |
|
- mergekit |
|
- merge |
|
|
|
--- |
|
# merge |
|
|
|
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
|
|
|
## Merge Details |
|
### Merge Method |
|
|
|
This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [CultriX/Qwen2.5-14B-Wernickev3](https://huggingface.co/CultriX/Qwen2.5-14B-Wernickev3) as a base. |
|
|
|
### Models Merged |
|
|
|
The following models were included in the merge: |
|
* [qingy2024/Fusion4-14B-Instruct](https://huggingface.co/qingy2024/Fusion4-14B-Instruct) |
|
* [sometimesanotion/Lamarck-14B-v0.6](https://huggingface.co/sometimesanotion/Lamarck-14B-v0.6) |
|
* [allknowingroger/QwenSlerp6-14B](https://huggingface.co/allknowingroger/QwenSlerp6-14B) |
|
* [CultriX/SeQwence-14B-EvolMerge](https://huggingface.co/CultriX/SeQwence-14B-EvolMerge) |
|
* [hotmailuser/QwenSlerp2-14B](https://huggingface.co/hotmailuser/QwenSlerp2-14B) |
|
* [CultriX/Qwen2.5-14B-Emerged](https://huggingface.co/CultriX/Qwen2.5-14B-Emerged) |
|
* [djuna/Q2.5-Veltha-14B-0.5](https://huggingface.co/djuna/Q2.5-Veltha-14B-0.5) |
|
|
|
### Configuration |
|
|
|
The following YAML configuration was used to produce this model: |
|
|
|
```yaml |
|
merge_method: dare_ties # Changed to dare_ties |
|
base_model: CultriX/Qwen2.5-14B-Wernickev3 |
|
dtype: bfloat16 # Use float32 for maximum precision. |
|
out_dtype: bfloat16 # Output model also uses bfloat16 for consistency and reduced memory usage. |
|
|
|
parameters: |
|
t: 0.5 # Balances interpolation between models; 0.5 gives equal weight to all contributors. |
|
normalize: true # Ensures parameters are normalized to maintain stability during merging. |
|
rescale: true # Aligns parameter scales across models for better integration. |
|
int8_mask: false # Disable int8 masking to preserve full precision during merging. |
|
epsilon: 0.008 # Ultra-fine parameter scaling for precise adjustments between models. |
|
lambda: 1.8 # Emphasizes high-impact parameters, giving more weight to significant contributors. |
|
|
|
adaptive_merge_parameters: |
|
task_weights: # Assign weights to tasks based on their priority and impact on benchmarks. |
|
tinyArc: 1.6 # Logical reasoning benchmark; slightly lower priority. |
|
tinyHellaswag: 1.5 # Contextual reasoning benchmark with moderate priority. |
|
tinyMMLU: 1.8 # Multi-domain knowledge benchmark; important for multitask performance. |
|
tinyTruthfulQA: 1.9 # Focuses on factual reasoning and QA; high priority. |
|
tinyTruthfulQA_mc1: 1.75 # Multiple-choice factual reasoning; closely related to TruthfulQA. |
|
tinyWinogrande: 1.75 # Core reasoning benchmark; slightly lower than BBH. |
|
IFEval: 2.30 # Instruction-following tasks; given a high priority for practical applications. |
|
BBH: 2.05 # Complex reasoning benchmark; critical for logical tasks. |
|
MATH: 2.70 # Highest priority to emphasize mathematical reasoning excellence. |
|
GPQA: 2.20 # Graduate-level QA tasks; balanced priority for high-level reasoning. |
|
MUSR: 2.15 # Multi-step reasoning; slightly increased to strengthen reasoning performance. |
|
MMLU-PRO: 2.00 # Domain multitask benchmark; maintained for general multitask capability. |
|
smoothing_factor: 0.03 # Low smoothing for precise task-specific blending without over-generalizing. |
|
|
|
gradient_clipping: # Control gradient clipping for each model to stabilize training. |
|
CultriX/Qwen2.5-14B-Wernickev3: 0.89 # Higher value ensures stability for the base model. |
|
djuna/Q2.5-Veltha-14B-0.5: 0.92 # Stable setting to enhance reasoning contributions. |
|
CultriX/SeQwence-14B-EvolMerge: 0.87 # Moderate value for generalist multitask support. |
|
qingy2024/Fusion4-14B-Instruct: 0.93 # High stability to emphasize mathematical tasks. |
|
CultriX/Qwen2.5-14B-Emerged: 0.88 # Stable setting to maintain multitask performance. |
|
sometimesanotion/Lamarck-14B-v0.6: 0.89 # Stable contribution for multi-step reasoning. |
|
allknowingroger/QwenSlerp6-14B: 0.90 # Adjusted for stable integration of the replacement model. |
|
hotmailuser/QwenSlerp2-14B: 0.91 # Increased slightly for stable integration of reasoning contributions. |
|
|
|
models: # Define models to include in the merge, along with their weights and densities. |
|
- model: CultriX/Qwen2.5-14B-Wernickev3 |
|
parameters: |
|
weight: 0.33 # Increased to absorb some of the weight from the removed model. |
|
density: 0.78 # Maintained optimal density for robust generalist performance. |
|
|
|
- model: djuna/Q2.5-Veltha-14B-0.5 |
|
parameters: |
|
weight: 0.28 # Increased slightly to enhance reasoning benchmarks like MUSR. |
|
density: 0.77 # Maintained for strong nuanced reasoning. |
|
|
|
- model: allknowingroger/QwenSlerp6-14B # Replacement for Qwenfinity-2.5-14B. |
|
parameters: |
|
weight: 0.15 # Matches the weight of the replaced model to preserve balance. |
|
density: 0.70 # Increased slightly for stronger parameter integration. |
|
|
|
- model: CultriX/SeQwence-14B-EvolMerge |
|
parameters: |
|
weight: 0.12 # Moderate weight for general multitask support. |
|
density: 0.62 # Maintained for stable contribution. |
|
|
|
- model: qingy2024/Fusion4-14B-Instruct |
|
parameters: |
|
weight: 0.09 # Moderate weight; focuses on mathematical reasoning tasks. |
|
density: 0.75 # Maintained density for stable integration. |
|
|
|
- model: CultriX/Qwen2.5-14B-Emerged |
|
parameters: |
|
weight: 0.08 # Balanced weight for multitask contributions. |
|
density: 0.69 # Maintained density for stable integration. |
|
|
|
- model: sometimesanotion/Lamarck-14B-v0.6 |
|
parameters: |
|
weight: 0.06 # Lower weight to allow more impactful models to dominate. |
|
density: 0.62 # Maintained for stable multi-step reasoning contribution. |
|
|
|
- model: hotmailuser/QwenSlerp2-14B |
|
parameters: |
|
weight: 0.11 # Increased slightly to balance contributions. |
|
density: 0.66 # Maintained for stable parameter integration. |
|
|
|
``` |
|
|
