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Model: openmoss/Llama-2-7B-MHA-d_kv_256 Source: Original Platform
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README.md
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---
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license: apache-2.0
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datasets:
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- HuggingFaceTB/smollm-corpus
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base_model:
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- meta-llama/Llama-2-7b-hf
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pipeline_tag: text-generation
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---
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**Research Paper** ["Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs"](https://arxiv.org/abs/2502.14837)
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## Inference
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- Step 1: Download the [**monkey patch file**](https://github.com/JT-Ushio/MHA2MLA/blob/main/src/mha2mla/monkey_patch.py).
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```shell
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wget https://raw.githubusercontent.com/JT-Ushio/MHA2MLA/refs/heads/main/src/mha2mla/monkey_patch.py
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```
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- Step 2(Option): For MHA2MLA models using Partial-RoPE 2-nrom method, Download the [**qk_2-norm file**](https://github.com/JT-Ushio/MHA2MLA/tree/main/utils).
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Take `qk_tensor_7B.pth` as an example:
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```shell
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wget https://github.com/JT-Ushio/MHA2MLA/raw/refs/heads/main/utils/qk_tensor_7B.pth
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```
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- Step 3: Download the [MHA2MLA models](https://huggingface.co/fnlp/Llama-2-7B-MHA-d_kv_256) and run inference.
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Take `fnlp/Llama-2-7B-MHA-d_kv_256` as an example:
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```python
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import torch
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from transformers import AutoConfig, AutoTokenizer, LlamaForCausalLM
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from monkey_patch import infer_monkey_patch
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model_name = "fnlp/Llama-2-7B-MHA-d_kv_256"
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# Monkey Patch: MHA -> MLA
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config = AutoConfig.from_pretrained(model_name)
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if "RoPE" in config:
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config.RoPE["qk_tensor_path"] = "qk_tensor_7B.pth" # Configuration for Specific Models
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infer_monkey_patch(config.RoPE)
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tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
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model = LlamaForCausalLM.from_pretrained(model_name, config=config, torch_dtype=torch.bfloat16).cuda()
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# Generate
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text = "Which American-born Sinclair won the Nobel Prize for Literature in 1930?"
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inputs = tokenizer(text, return_tensors="pt").to(model.device)
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generation_kwargs = {"do_sample": False, "use_cache": True, "max_new_tokens": 128}
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output = model.generate(**inputs, **generation_kwargs)
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print(tokenizer.decode(output[0], skip_special_tokens=True))
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# - Sinclair Lewis
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```
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## Citation
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```
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@misc{ji2025economicalinferenceenablingdeepseeks,
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title={Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs},
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author={Tao Ji and Bin Guo and Yuanbin Wu and Qipeng Guo and Lixing Shen and Zhan Chen and Xipeng Qiu and Qi Zhang and Tao Gui},
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year={2025},
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eprint={2502.14837},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2502.14837},
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}
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```
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config.json
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config.json
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{
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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": 1,
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"eos_token_id": 2,
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"head_dim": 128,
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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": 4096,
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"mlp_bias": false,
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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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"num_key_value_heads": 32,
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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": "bfloat16",
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"transformers_version": "4.46.3",
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"use_cache": true,
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"vocab_size": 32000
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}
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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"model.norm.weight": "model-00003-of-00003.safetensors"
|
||||
}
|
||||
}
|
||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:c88bda6bdd84543eadebdf4bd2ec325ae43b71a3ff1fead6a766562c00b29bd8
|
||||
size 3619016
|
||||
42
tokenizer_config.json
Normal file
42
tokenizer_config.json
Normal file
@@ -0,0 +1,42 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": false,
|
||||
"add_prefix_space": null,
|
||||
"added_tokens_decoder": {
|
||||
"0": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"1": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"2": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"bos_token": "<s>",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"legacy": false,
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": null,
|
||||
"padding_side": "right",
|
||||
"sp_model_kwargs": {},
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user