Qwen3-8B Tezos fine-tune
According to the model card, it is a fine-tuned version of Qwen/Qwen3-8B on a Tezos sandboxes traces dataset, consistent with hub base-model tags.
Open Source Model Profile · laion
stackexchange-tezos-sandboxes_glm_4_6_traces_together is a Qwen3-8B fine-tune from laion. According to the model card, it trains on Tezos sandbox traces.
stackexchange-tezos-sandboxes_glm_4_6_traces_together is published by laion as a Qwen3 text-generation fine-tune. The captured configuration identifies Qwen3ForCausalLM. According to the model card, it is a fine-tuned version of Qwen/Qwen3-8B on a Tezos sandboxes traces dataset, consistent with hub tags listing Qwen/Qwen3-8B as base model.
According to the model card, it is a fine-tuned version of Qwen/Qwen3-8B on a Tezos sandboxes traces dataset, consistent with hub base-model tags.
The captured configuration reports Qwen3ForCausalLM with model type qwen3 and 308,224 parameters in Safetensors metadata, with Transformers support.
According to the model card, the publisher lists 7 epochs with learning rate 4e-05, multi-GPU training on 8 devices, and cosine scheduling.
The captured card data lists apache-2.0 licensing.
Source: laion/stackexchange-tezos-sandboxes_glm_4_6_traces_together
Captured: Unknown. Processed: 2026-09-07T19:35:57.970545+00:00.
stackexchange-tezos-sandboxes_glm_4_6_traces_together This model is a fine-tuned version of Qwen/Qwen3-8B on the DCAgent/stackexchange-tezos-sandboxes_glm_4.6_traces_together dataset. Model description More information needed Intended uses & limitations More information needed Training and evaluation data More information needed Training procedure Training hyperparameters The following hyperparameters were used during training: learning_rate: 4e-05 train_batch_size: 1 eval_batch_size: 8 seed: 42 distributed_type: multi-GPU num_devices: 8 gradient_accumulation_steps: 2 total_train_batch_size: 16 total_eval_batch_size: 64 optimizer: U…
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