tobiaslee
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upload
Browse files- config.json +49 -0
- generation_config.json +11 -0
- pytorch_model.bin +3 -0
- qwen.tiktoken +0 -0
- special_tokens_map.json +3 -0
- tokenizer_config.json +12 -0
config.json
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{
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"_name_or_path": "Qwen/Qwen-VL-Chat",
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"architectures": [
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"QWenLMHeadModel"
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],
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"attn_dropout_prob": 0.0,
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"auto_map": {
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"AutoConfig": "Qwen/Qwen-VL-Chat--configuration_qwen.QWenConfig",
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"AutoModelForCausalLM": "Qwen/Qwen-VL-Chat--modeling_qwen.QWenLMHeadModel"
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},
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"bf16": true,
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"emb_dropout_prob": 0.0,
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"fp16": false,
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"fp32": false,
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 22016,
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"kv_channels": 128,
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"layer_norm_epsilon": 1e-06,
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"max_position_embeddings": 8192,
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"model_type": "qwen",
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"no_bias": true,
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"onnx_safe": null,
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"rotary_emb_base": 10000,
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"rotary_pct": 1.0,
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"scale_attn_weights": true,
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"seq_length": 2048,
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"tie_word_embeddings": false,
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"tokenizer_type": "QWenTokenizer",
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"torch_dtype": "bfloat16",
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"transformers_version": "4.32.0",
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"use_cache": false,
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"use_dynamic_ntk": true,
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"use_flash_attn": false,
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"use_logn_attn": true,
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"visual": {
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"heads": 16,
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"image_size": 448,
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"image_start_id": 151857,
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"layers": 48,
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"mlp_ratio": 4.9231,
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"output_dim": 4096,
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"patch_size": 14,
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"width": 1664
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},
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"vocab_size": 151936
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}
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generation_config.json
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{
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"chat_format": "chatml",
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"do_sample": true,
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"eos_token_id": 151643,
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"max_new_tokens": 512,
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"max_window_size": 6144,
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"pad_token_id": 151643,
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"top_k": 0,
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"top_p": 0.3,
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"transformers_version": "4.32.0"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:fecf9c26c7c889e13fbc1aa5c5b686177b98df6a7f465549deca0853b3c50598
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size 19314119273
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qwen.tiktoken
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The diff for this file is too large to render.
See raw diff
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special_tokens_map.json
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{
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"pad_token": "<|endoftext|>"
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}
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tokenizer_config.json
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{
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"auto_map": {
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"AutoTokenizer": [
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"Qwen/Qwen-VL-Chat--tokenization_qwen.QWenTokenizer",
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null
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]
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},
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"clean_up_tokenization_spaces": true,
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"model_max_length": 3072,
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"padding_side": "right",
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"tokenizer_class": "QWenTokenizer"
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}
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