(Trained with Unsloth)
Browse files- config.json +82 -0
- tokenizer_config.json +3 -2
config.json
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{
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"architectures": [
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"GptOssForCausalLM"
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],
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"attention_bias": true,
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"attention_dropout": 0.0,
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"bos_token_id": 199998,
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"torch_dtype": "bfloat16",
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"eos_token_id": 200002,
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"experts_per_token": 4,
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"head_dim": 64,
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"hidden_act": "silu",
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"hidden_size": 2880,
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"initial_context_length": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 2880,
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"layer_types": [
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"full_attention"
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],
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"max_position_embeddings": 131072,
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"model_type": "gpt_oss",
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"num_attention_heads": 64,
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"num_experts_per_tok": 4,
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"num_hidden_layers": 36,
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"num_key_value_heads": 8,
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"num_local_experts": 128,
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"output_router_logits": false,
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"pad_token_id": 200017,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"beta_fast": 32.0,
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"beta_slow": 1.0,
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"factor": 32.0,
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"original_max_position_embeddings": 4096,
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"rope_type": "yarn",
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"truncate": false
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},
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"rope_theta": 150000,
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"router_aux_loss_coef": 0.9,
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"sliding_window": 128,
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"swiglu_limit": 7.0,
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"tie_word_embeddings": false,
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"unsloth_fixed": true,
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"unsloth_version": "2026.1.4",
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"use_cache": true,
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"vocab_size": 201088
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}
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tokenizer_config.json
CHANGED
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@@ -181,5 +181,6 @@
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"pad_token": "<|reserved_200017|>",
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"padding_side": "left",
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"tokenizer_class": "PreTrainedTokenizerFast",
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"unk_token": null
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}
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"pad_token": "<|reserved_200017|>",
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"padding_side": "left",
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"tokenizer_class": "PreTrainedTokenizerFast",
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"unk_token": null,
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"chat_template": "{% for message in messages %}{% if message['role'] == 'system' %}<|start|>system<|message|># Instructions\n\n{{ message['content'] }}<|end|>{% elif message['role'] == 'user' %}<|start|>user<|message|>{{ message['content'] }}<|end|>{% elif message['role'] == 'assistant' %}<|start|>assistant<|message|>{{ message['content'] }}<|return|>{% endif %}{% endfor %}"
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}
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