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flcc.bpe
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flcc.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 2816,
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"max_position_embeddings": 1500,
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"model_type": "llama",
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"num_attention_heads": 8,
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"num_hidden_layers": 6,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.34.1",
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"use_cache": true,
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"vocab_size": 16384
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}
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flcc.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:0112c42a9bc2ed6430733f17eb6db0a8135900d4823544724accc96c76667bc7
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size 68636512
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model.xml
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<!--AUTO-GENERATED FILE. DO NOT MODIFY. xml file is generated by generateModel gradle task-->
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<model>
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<version>0.1.110-native-llama-bundle</version>
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<size>68853672</size>
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<jar>local-model-python-v2-0.1.110-native-llama-bundle.jar</jar>
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<languages>
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<language>python</language>
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<language>python-v2</language>
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</languages>
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<changelog>
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- a long context model for Python
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</changelog>
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<binary>flcc.model</binary>
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<bpe>flcc.bpe</bpe>
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<config>flcc.json</config>
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<inferenceType>LLAMA_NATIVE</inferenceType>
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<native>
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<archive>full-line-inference.zip</archive>
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<version>1.0.84</version>
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</native>
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</model>
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