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Browse files- config.json +27 -0
- generation_config.json +7 -0
- pytorch_model.bin +3 -0
- recipe.yaml +29 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +40 -0
config.json
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{
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"_name_or_path": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
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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": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 5632,
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"max_position_embeddings": 2048,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 22,
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"num_key_value_heads": 4,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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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": "1.7.0.43401",
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"use_cache": true,
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"vocab_size": 32000
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}
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generation_config.json
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{
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"bos_token_id": 1,
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"eos_token_id": 2,
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"max_length": 2048,
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"pad_token_id": 0,
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"transformers_version": "1.7.0.43401"
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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 sha256:17dd14301a8bdf78ebe7311830081c0cbe181be25886a1a37647226bc052bebd
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size 4407971642
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recipe.yaml
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test_stage:
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obcq_modifiers:
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LogarithmicEqualizationModifier:
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mappings:
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- - ['re:.*q_proj', 're:.*k_proj', 're:.*v_proj']
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- re:.*input_layernorm
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- - ['re:.*gate_proj', 're:.*up_proj']
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- re:.*post_attention_layernorm
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QuantizationModifier:
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ignore: [LlamaRotaryEmbedding, LlamaRMSNorm, SiLUActivation, MatMulOutput_QK, MatMulOutput_PV,
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model.layers.21.mlp.down_proj, model.layers.7.mlp.down_proj, model.layers.2.mlp.down_proj,
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model.layers.8.self_attn.q_proj, model.layers.8.self_attn.k_proj]
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post_oneshot_calibration: true
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scheme_overrides:
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Linear:
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weights: {num_bits: 8, symmetric: true, strategy: channel}
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MatMulLeftInput_QK:
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input_activations: {num_bits: 8, symmetric: true}
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Embedding:
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input_activations: null
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weights: {num_bits: 8, symmetric: false}
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SparseGPTModifier:
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sparsity: 0.5
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block_size: 128
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sequential_update: false
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quantize: true
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percdamp: 0.01
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mask_structure: 0:0
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targets: ['re:model.layers.\d*$']
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<s>",
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"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": false,
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"model_max_length": 2048,
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"pad_token": "</s>",
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"padding_side": "right",
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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