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Model: anonymguy/turn-detection-cocalai-vllm
Source: Original Platform

.gitattributes

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README.md

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+---
+base_model: unsloth/Qwen3-0.6B-Base
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- qwen3
+- turn-detection
+license: apache-2.0
+language:
+- en
+datasets:
+- latishab/turns-2k
+---
+
+# Uploaded finetuned  model
+
+- **Developed by:** anonymguy
+- **License:** apache-2.0
+- **Finetuned from model :** unsloth/Qwen3-0.6B-Base
+
+This qwen3 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+
+A synthetic dataset (round about 140 samples) also was being used and it had instructions like "Wait." and customer support specific data in addition to the turns-2k dataset.
+Accuracy: 96.22% 
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6574aef9addd9129ff595a4e/rem-lLvO_60Ad54enUaYk.png)
+
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

added_tokens.json

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config.json

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+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
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+  "attention_dropout": 0.0,
+  "eos_token_id": 151643,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 28,
+  "model_type": "qwen3",
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+  "num_hidden_layers": 28,
+  "num_key_value_heads": 8,
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+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.52.4",
+  "unsloth_fixed": true,
+  "unsloth_version": "2025.6.2",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

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+  "max_length": 32768,
+  "max_new_tokens": 2048,
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+  "transformers_version": "4.52.4"
+}

model.safetensors

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+size 1192135096

special_tokens_map.json

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+}

tokenizer_config.json

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+}