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Tess-M-v1.3

migtissera

This version is the stable release. The issues that were present in versions 1.0, 1.1 and 1.2 all have been rectified. Thank you for your patience while R&D was conducted. Enjoy! This model have been tested on very long context length. Model produced slight repetition, but it was very minor. I recommend testing the model to your usecase and limiting the context length. Here's my conversation: https://migel.substack.com/p/testing-tess-m-v13 As can be seen, "USER:" and "SYSTEM: Answer the question thoughtfully and intelligently. Always answer without hesitation." was presented by the model in the latter part of the conversation.

Text generation
Input Text→ Output Text
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Wiguel-AI-GGUF

Miguelms13

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Text generation
Input Text→ Output Text
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This is a deliberately undertrained PI0.5 checkpoint fine-tuned on LIBERO Spatial. It is intended as a reproducible starting policy for measuring how much downstream reinforcement learning improves task success, rather than as a fully trained SFT release. The checkpoint is an upstream-native, merged PI0.5 policy exported by verl-vla. It does not require a verl-vla checkpoint wrapper for inference. One complete pass over this dataset is 206 optimizer steps with the configured batch size. This checkpoint was saved at step 100, before completing the first epoch. It therefore provides a capable but intentionally non-saturated policy for subsequent RL experiments.

Category pending
Input Not verified→ Output Not verified
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goi-rl

miiwater

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Game AI
Input Not verified→ Output Not verified
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基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Visual QA
Input Text · Image→ Output Text
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