初始化项目，由ModelHub XC社区提供模型
Model: eugenepentland/Minotaur-13b-Landmark Source: Original Platform
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.gitattributes
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README.md
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README.md
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---
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license: other
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---
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Minotaur-13B with 10k+ context using Landmark Attention.
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Model generated using Landmark-Attention-QLoRA
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https://github.com/eugenepentland/landmark-attention-qlora
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A merge of the following models:
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https://huggingface.co/openaccess-ai-collective/minotaur-13b
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https://huggingface.co/eugenepentland/Minotaur-13b-Landmark-QLoRA
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Can be loaded in using oobooga, make sure to have the --trust-remote-code option on for it to function.
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added_tokens.json
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{
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"<landmark>": 32001,
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"[PAD]": 32000
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}
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config.json
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config.json
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{
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"_name_or_path": "/home/ubuntu/models/minotaur-13b",
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"architectures": [
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"LlamaForCausalLM"
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],
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"auto_map": {
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"AutoConfig": "configuration_landmark_llama.LlamaConfig",
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"AutoModel": "modelling_landmark_llama.LlamaModel",
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"AutoModelForCausalLM": "modelling_landmark_llama.LlamaForCausalLM",
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"AutoModelForSequenceClassification": "modelling_landmark_llama.LlamaForSequenceClassification"
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},
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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": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 13824,
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"max_position_embeddings": 2048,
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"max_sequence_length": 2048,
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"model_type": "llama",
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"num_attention_heads": 40,
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"num_hidden_layers": 40,
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"pad_token_id": 0,
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"rms_norm_eps": 1e-06,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.30.0",
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"use_cache": true,
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"vocab_size": 32002
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}
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configuration_landmark_llama.py
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configuration_landmark_llama.py
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# coding=utf-8
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# Copyright 2022 EleutherAI and the HuggingFace Inc. team. All rights reserved.
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#
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# This code is based on EleutherAI's GPT-NeoX library and the GPT-NeoX
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# and OPT implementations in this library. It has been modified from its
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# original forms to accommodate minor architectural differences compared
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# to GPT-NeoX and OPT used by the Meta AI team that trained the model.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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""" LLaMA model configuration"""
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from transformers import LlamaConfig as HFLlamaConfig
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from transformers.utils import logging
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logger = logging.get_logger(__name__)
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class LlamaConfig(HFLlamaConfig):
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model_type = "llama"
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def __init__(
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self,
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mem_id=32001,
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mem_freq=50,
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mem_top_k=5,
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mem_max_seq_len=255,
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mem_max_cache_size=None,
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**kwargs,
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):
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self.mem_id = mem_id
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self.mem_freq = mem_freq
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self.mem_top_k = mem_top_k
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self.mem_max_seq_len = mem_max_seq_len
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self.mem_max_cache_size = mem_max_cache_size
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super().__init__(**kwargs)
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generation_config.json
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"transformers_version": "4.30.0"
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}
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1217
modelling_landmark_llama.py
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1217
modelling_landmark_llama.py
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||||
27
special_tokens_map.json
Normal file
27
special_tokens_map.json
Normal file
@@ -0,0 +1,27 @@
|
||||
{
|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
93409
tokenizer.json
Normal file
93409
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
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||||
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||||
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|
||||
31
tokenizer_config.json
Normal file
31
tokenizer_config.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
}
|
||||
Reference in New Issue
Block a user