GPTQ model commit
Browse files- config.json +61 -0
- generation_config.json +6 -0
- model.safetensors +3 -0
- quantize_config.json +11 -0
- tokenizer.json +0 -0
- tokenizer_config.json +35 -0
config.json
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{
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"_name_or_path": "/workspace/process/rombodawg_everyone-coder-33b-base/source",
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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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"attention_dropout": 0.0,
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"bos_token_id": 32013,
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"eos_token_id": 32021,
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"hidden_act": "silu",
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"hidden_size": 7168,
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"initializer_range": 0.02,
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"intermediate_size": 19200,
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"max_position_embeddings": 16384,
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"model_type": "llama",
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"num_attention_heads": 56,
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"num_hidden_layers": 62,
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"num_key_value_heads": 8,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-06,
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"rope_scaling": {
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"factor": 4.0,
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"type": "linear"
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},
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"rope_theta": 100000,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.37.0.dev0",
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"use_cache": true,
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"vocab_size": 32256,
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"quantization_config": {
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"bits": 4,
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"group_size": -1,
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"damp_percent": 0.1,
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"desc_act": true,
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"static_groups": false,
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"sym": true,
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"true_sequential": true,
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"model_name_or_path": null,
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"model_file_base_name": "model",
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"quant_method": "gptq",
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"modules_in_block_to_quantize": [
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[
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"self_attn.k_proj",
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"self_attn.v_proj",
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"self_attn.q_proj"
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],
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[
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"self_attn.o_proj"
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],
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[
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"mlp.up_proj",
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"mlp.gate_proj"
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],
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[
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"mlp.down_proj"
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]
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]
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}
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 32013,
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"eos_token_id": 32021,
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"transformers_version": "4.34.1"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:aace84eaa34a3a3aeb640ac30c9f8b7670d66a19411ce82c6b2333f49d90ee3c
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size 17399444584
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quantize_config.json
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{
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"bits": 4,
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"group_size": -1,
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"damp_percent": 0.1,
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"desc_act": true,
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"static_groups": false,
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"sym": true,
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"true_sequential": true,
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"model_name_or_path": null,
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"model_file_base_name": "model"
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}
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tokenizer.json
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See raw diff
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"bos_token": {
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"__type": "AddedToken",
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"content": "<|begin▁of▁sentence|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"clean_up_tokenization_spaces": false,
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"eos_token": {
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"__type": "AddedToken",
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"content": "<|EOT|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"legacy": true,
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"model_max_length": 16384,
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"pad_token": {
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"__type": "AddedToken",
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"content": "<|end▁of▁sentence|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"sp_model_kwargs": {},
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"unk_token": null,
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"tokenizer_class": "LlamaTokenizerFast",
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"chat_template": "{% if not add_generation_prompt is defined %}\n{% set add_generation_prompt = false %}\n{% endif %}\n{%- set ns = namespace(found=false) -%}\n{%- for message in messages -%}\n {%- if message['role'] == 'system' -%}\n {%- set ns.found = true -%}\n {%- endif -%}\n{%- endfor -%}\n{{bos_token}}{%- if not ns.found -%}\n{{'You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer\\n'}}\n{%- endif %}\n{%- for message in messages %}\n {%- if message['role'] == 'system' %}\n{{ message['content'] }}\n {%- else %}\n {%- if message['role'] == 'user' %}\n{{'### Instruction:\\n' + message['content'] + '\\n'}}\n {%- else %}\n{{'### Response:\\n' + message['content'] + '\\n<|EOT|>\\n'}}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{% if add_generation_prompt %}\n{{'### Response:'}}\n{% endif %}"
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}
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