scottto/mlc-chat-RWKV-4-World-3B-q4f16_2

mlc-chat iOS pre-built RWKV-4-World-3B

https://github.com/mlc-ai/mlc-llm https://mlc.ai/mlc-llm/docs/deploy/ios.html

RWKV-4-World的Hugface格式，因新版World的tokenizer较之前Raven\Pile版本有较大变化，因而需要进行新版HF适配 ringrwkv兼容了原生rwkv库和transformers的rwkv库，同时新添入World版本的配置及代码（支持1.5B，3B，7B全系列），并修复了原HF的RWKV在 Forward RWKVOutput时的细微问题，主要是引入和明确last_hidden_state。以下是轻量级使用代码，比较方便：

RingRWKV GIT开源地址：https://github.com/StarRing2022/RingRWKV

import torch
from ringrwkv.configuration_rwkv_world import RwkvConfig
from ringrwkv.rwkv_tokenizer import TRIE_TOKENIZER
from ringrwkv.modehf_world import RwkvForCausalLM

model = RwkvForCausalLM.from_pretrained("StarRing2022/RWKV-4-World-3B") #或将本模型下载至本地文件夹
tokenizer = TRIE_TOKENIZER('./ringrwkv/rwkv_vocab_v20230424.txt')

text = "你叫什么名字？"

question = f'Question: {text.strip()}\n\nAnswer:'

input_ids = tokenizer.encode(question)
input_ids = torch.tensor(input_ids).unsqueeze(0)

out = model.generate(input_ids,max_new_tokens=40)

outlist = out[0].tolist()

for i in outlist:
    if i==0: #要删除tokenid为0的元素
    outlist.remove(i)

answer = tokenizer.decode(outlist)

print(answer)