commit f15ff4d9a17e7bc3e00dc8380155fd4a3362dda4
Author: ModelHub XC <noreply@modelhub.org.cn>
Date:   Fri May 22 03:28:12 2026 +0800

    初始化项目，由ModelHub XC社区提供模型
    
    Model: Josephgflowers/Tinyllama-1.5B-Cinder-Test-2
    Source: Original Platform

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diff --git a/README.md b/README.md
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+---
+license: mit
+---
+This is a depth up scalled model of the 616M cinder model and Cinder v2. This model still needs further training. Putting it up for testing. More information coming. Maybe. Lol. Here is a brief desc of the project: Im mixing a lot of techniques I guess that I found interesting and have been testing, HF Cosmo is not great but decent and was fully trained in 4 days using a mix of more fine tuned directed datasets and some synthetic textbook style datasets. So I used pruning and a similar mix as Cosmo on tinyllama (trained on a ton of data for an extended time for its size) to keep the tinyllama model coherent during pruning. Now I am trying to depth up scale it using my pruned model and an original, Then taking a majority of each and combining them to create a larger model. Then it needs more training, then fine tuning. Then theoretically it will be a well performing 1.5B model (that didn't need full scale training).
+Test 2, some training, re depth upscalled with cinder reason 1.3B and merged back with 1.5 and slight training. Continuing training from this model for next iteration.
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+  "vocab_size": 32000
+}
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