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Model: emozilla/landmark-llama-7b Source: Original Platform
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README.md
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---
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license: cc-by-sa-4.0
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---
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## emozilla/landmark-llama-7b
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This model is an out-of-the-box ready version of the LLaMA-7B variant of [Landmark Attention](https://arxiv.org/abs/2305.16300).
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The original code is modified from the [Landmark GitHub](https://github.com/epfml/landmark-attention) and the weights from [here](https://huggingface.co/epfml/landmark-attention-llama7b-wdiff).
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As a LLaMA variant, this model may be subject to the LLaMA license.
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### To use
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
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import torch
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tokenizer = AutoTokenizer.from_pretrained("emozilla/landmark-llama-7b", use_fast=False)
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model = AutoModelForCausalLM.from_pretrained("emozilla/landmark-llama-7b", \
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torch_dtype=torch.bfloat16, trust_remote_code=True, device_map="auto")
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pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
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print(pipe("Somebody once told me the world is gonna roll me", \
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max_new_tokens=256, temperature=0.8, do_sample=True))
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```
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You can configure the Landmark parameters by editing `mem_freq`, `mem_top_k`, `mem_max_seq_len`, and `mem_max_cache_size`.
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```python
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config = AutoConfig.from_pretrained("emozilla/landmark-llama-7b", trust_remote_code=True)
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config.mem_top_k = 6
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model = AutoModelForCausalLM.from_pretrained("emozilla/landmark-llama-7b", \
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torch_dtype=torch.bfloat16, trust_remote_code=True, device_map="auto", config=config)
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```
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config.json
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{
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"_name_or_path": "tuned2",
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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": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 2048,
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"mem_freq": 50,
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"mem_id": 32001,
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"mem_max_cache_size": null,
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"mem_max_seq_len": 255,
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"mem_top_k": 5,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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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": "float32",
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"transformers_version": "4.29.2",
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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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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"pad_token_id": 0,
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"transformers_version": "4.29.2"
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}
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modelling_landmark_llama.py
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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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||||
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||||
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||||
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||||
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|
||||
"model.norm.weight": "pytorch_model-00003-of-00003.bin"
|
||||
}
|
||||
}
|
||||
27
special_tokens_map.json
Normal file
27
special_tokens_map.json
Normal file
@@ -0,0 +1,27 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<landmark>"
|
||||
],
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": "[PAD]",
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
93418
tokenizer.json
Normal file
93418
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 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
||||
size 499723
|
||||
34
tokenizer_config.json
Normal file
34
tokenizer_config.json
Normal file
@@ -0,0 +1,34 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": false,
|
||||
"bos_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"model_max_length": 512,
|
||||
"pad_token": null,
|
||||
"padding_side": "right",
|
||||
"sp_model_kwargs": {},
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user