The following YAML configuration was used to produce this model:
merge_method:dare_ties# Changed to dare_tiesbase_model:CultriX/Qwen2.5-14B-Wernickev3dtype: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-Wernickev3parameters: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-0.5parameters: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-EvolMergeparameters:weight:0.12# Moderate weight for general multitask support.density:0.62# Maintained for stable contribution.-model:qingy2024/Fusion4-14B-Instructparameters:weight:0.09# Moderate weight; focuses on mathematical reasoning tasks.density:0.75# Maintained density for stable integration.-model:CultriX/Qwen2.5-14B-Emergedparameters:weight:0.08# Balanced weight for multitask contributions.density:0.69# Maintained density for stable integration.-model:sometimesanotion/Lamarck-14B-v0.6parameters:weight:0.06# Lower weight to allow more impactful models to dominate.density:0.62# Maintained for stable multi-step reasoning contribution.-model:hotmailuser/QwenSlerp2-14Bparameters:weight:0.11# Increased slightly to balance contributions.density:0.66# Maintained for stable parameter integration.
Runs of CultriX Qwen2.5-14B-Hyperionv4 on huggingface.co
24
Total runs
0
24-hour runs
0
3-day runs
-4
7-day runs
5
30-day runs
More Information About Qwen2.5-14B-Hyperionv4 huggingface.co Model
Qwen2.5-14B-Hyperionv4 huggingface.co
Qwen2.5-14B-Hyperionv4 huggingface.co is an AI model on huggingface.co that provides Qwen2.5-14B-Hyperionv4's model effect (), which can be used instantly with this CultriX Qwen2.5-14B-Hyperionv4 model. huggingface.co supports a free trial of the Qwen2.5-14B-Hyperionv4 model, and also provides paid use of the Qwen2.5-14B-Hyperionv4. Support call Qwen2.5-14B-Hyperionv4 model through api, including Node.js, Python, http.
Qwen2.5-14B-Hyperionv4 huggingface.co is an online trial and call api platform, which integrates Qwen2.5-14B-Hyperionv4's modeling effects, including api services, and provides a free online trial of Qwen2.5-14B-Hyperionv4, you can try Qwen2.5-14B-Hyperionv4 online for free by clicking the link below.
CultriX Qwen2.5-14B-Hyperionv4 online free url in huggingface.co:
Qwen2.5-14B-Hyperionv4 is an open source model from GitHub that offers a free installation service, and any user can find Qwen2.5-14B-Hyperionv4 on GitHub to install. At the same time, huggingface.co provides the effect of Qwen2.5-14B-Hyperionv4 install, users can directly use Qwen2.5-14B-Hyperionv4 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
Qwen2.5-14B-Hyperionv4 install url in huggingface.co: