appvoid/cloud-11
appvoid/cloud-11 is a 0.35 billion parameter language model created by appvoid through a DARE TIES merge of three pre-trained models, including appvoid/palmer-005-core as its base. This model is designed for general language tasks, leveraging the combined strengths of its constituent models. It features a notable context length of 32768 tokens, making it suitable for applications requiring processing of longer inputs.
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Overview
appvoid/cloud-11 is a 0.35 billion parameter language model developed by appvoid. It was created using the DARE TIES merge method, a technique for combining multiple pre-trained language models. The base model for this merge was appvoid/palmer-005-core.
Key Capabilities
This model integrates the capabilities of three distinct models:
- mkurman/LiquidAI-LFM2.5-350M-SYNTH
- squ11z1/claude-oss-350m
- MihaiPopa-1/LFM2.5-350M-heretic
The DARE TIES method, as described in the arXiv paper, allows for a weighted and dense combination of these models' parameters, aiming to leverage their individual strengths. The merge configuration utilized bfloat16 for its dtype and included specific weight and density parameters for each merged model.
When to Use This Model
Given its small parameter count and the nature of its creation via model merging, appvoid/cloud-11 is likely suitable for:
- Resource-constrained environments: Its 0.35B parameters make it efficient for deployment where computational resources are limited.
- General language understanding and generation: As a merge of general-purpose language models, it can handle a variety of text-based tasks.
- Applications requiring longer context: With a 32768-token context length, it can process and generate longer sequences of text effectively.