Model card update

README.md

@@ -1,11 +1,218 @@
-### v6-Finch-14B-HF
+### Huggingface RWKV Finch 14B Model
 
 > HF compatible model for Finch-14B.
-> This is an early preview for testing.
-> **This is not final**
 
-![Crimson Finch Bird](./imgs/crimson-finch-unsplash-david-clode.jpg)
+![Finch Bird](./imgs/finch.jpg)
 
-> origin pth weight at https://huggingface.co/BlinkDL/rwkv-6-world/blob/main/ .
 
-More details to be done.
+> **! Important Note !**
+>
+> The following is the HF transformers implementation of the Finch 14B model. This is meant to be used with the huggingface transformers
+>
+> [For the full model weights on its own, to use with other RWKV libraries, refer to `RWKV/v5-EagleX-v2-7B-pth`](https://huggingface.co/RWKV/v5-EagleX-v2-7B-pth)
+>
+>
+
+
+## Quickstart with the hugging face transformer library
+
+```
+model = AutoModelForCausalLM.from_pretrained("RWKV/v6-Finch-14B-HF", trust_remote_code=True).to(torch.float32)
+tokenizer = AutoTokenizer.from_pretrained("RWKV/v6-Finch-14B-HF", trust_remote_code=True)
+```
+
+## Evaluation
+
+The following demonstrates the improvements from Eagle 7B to Finch 14B
+
+|  | [Eagle 7B](https://huggingface.co/RWKV/v5-Eagle-7B-HF) | [Finch 7B](https://huggingface.co/RWKV/v6-Finch-7B-HF) | [Finch 14B](https://huggingface.co/RWKV/v6-Finch-14B-HF) |
+| --- | --- | --- | --- |
+| [ARC](https://github.com/EleutherAI/lm-evaluation-harness/tree/main/lm_eval/tasks/arc) | 39.59% | 41.47% | 46.33% |
+| [HellaSwag](https://github.com/EleutherAI/lm-evaluation-harness/tree/main/lm_eval/tasks/hellaswag) | 53.09% | 55.96% | 57.69% |
+| [MMLU](https://github.com/EleutherAI/lm-evaluation-harness/tree/main/lm_eval/tasks/mmlu) | 30.86% | 41.70% | 56.05% |
+| [Truthful QA](https://github.com/EleutherAI/lm-evaluation-harness/tree/main/lm_eval/tasks/truthfulqa) | 33.03% | 34.82% | 39.27% |
+| [Winogrande](https://github.com/EleutherAI/lm-evaluation-harness/tree/main/lm_eval/tasks/winogrande) | 67.56% | 71.19% | 74.43% |
+
+#### Running on CPU via HF transformers
+
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+def generate_prompt(instruction, input=""):
+    instruction = instruction.strip().replace('\r\n','\n').replace('\n\n','\n')
+    input = input.strip().replace('\r\n','\n').replace('\n\n','\n')
+    if input:
+        return f"""Instruction: {instruction}
+
+Input: {input}
+
+Response:"""
+    else:
+        return f"""User: hi
+
+Assistant: Hi. I am your assistant and I will provide expert full response in full details. Please feel free to ask any question and I will always answer it.
+
+User: {instruction}
+
+Assistant:"""
+
+
+model = AutoModelForCausalLM.from_pretrained("RWKV/v5-Eagle-7B-HF", trust_remote_code=True).to(torch.float32)
+tokenizer = AutoTokenizer.from_pretrained("RWKV/v5-Eagle-7B-HF", trust_remote_code=True)
+
+text = "请介绍北京的旅游景点"
+prompt = generate_prompt(text)
+
+inputs = tokenizer(prompt, return_tensors="pt")
+output = model.generate(inputs["input_ids"], max_new_tokens=333, do_sample=True, temperature=1.0, top_p=0.3, top_k=0, )
+print(tokenizer.decode(output[0].tolist(), skip_special_tokens=True))
+```
+
+output:
+
+```shell
+User: hi
+
+Assistant: Hi. I am your assistant and I will provide expert full response in full details. Please feel free to ask any question and I will always answer it.
+
+User: 请介绍北京的旅游景点
+
+Assistant: 北京是中国的首都，拥有众多的旅游景点，以下是其中一些著名的景点：
+1. 故宫：位于北京市中心，是明清两代的皇宫，内有大量的文物和艺术品。
+2. 天安门广场：是中国最著名的广场之一，是中国人民政治协商会议的旧址，也是中国人民政治协商会议的中心。
+3. 颐和园：是中国古代皇家园林之一，有着悠久的历史和丰富的文化内涵。
+4. 长城：是中国古代的一道长城，全长约万里，是中国最著名的旅游景点之一。
+5. 北京大学：是中国著名的高等教育机构之一，有着悠久的历史和丰富的文化内涵。
+6. 北京动物园：是中国最大的动物园之一，有着丰富的动物资源和丰富的文化内涵。
+7. 故宫博物院：是中国最著名的博物馆之一，收藏了大量的文物和艺术品，是中国最重要的文化遗产之一。
+8. 天坛：是中国古代皇家
+```
+
+#### Running on GPU via HF transformers
+
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+def generate_prompt(instruction, input=""):
+    instruction = instruction.strip().replace('\r\n','\n').replace('\n\n','\n')
+    input = input.strip().replace('\r\n','\n').replace('\n\n','\n')
+    if input:
+        return f"""Instruction: {instruction}
+
+Input: {input}
+
+Response:"""
+    else:
+        return f"""User: hi
+
+Assistant: Hi. I am your assistant and I will provide expert full response in full details. Please feel free to ask any question and I will always answer it.
+
+User: {instruction}
+
+Assistant:"""
+
+
+model = AutoModelForCausalLM.from_pretrained("RWKV/v5-Eagle-7B-HF", trust_remote_code=True, torch_dtype=torch.float16).to(0)
+tokenizer = AutoTokenizer.from_pretrained("RWKV/v5-Eagle-7B-HF", trust_remote_code=True)
+
+text = "介绍一下大熊猫"
+prompt = generate_prompt(text)
+
+inputs = tokenizer(prompt, return_tensors="pt").to(0)
+output = model.generate(inputs["input_ids"], max_new_tokens=128, do_sample=True, temperature=1.0, top_p=0.3, top_k=0, )
+print(tokenizer.decode(output[0].tolist(), skip_special_tokens=True))
+```
+
+output:
+
+```shell
+User: hi
+
+Assistant: Hi. I am your assistant and I will provide expert full response in full details. Please feel free to ask any question and I will always answer it.
+
+User: 介绍一下大熊猫
+
+Assistant: 大熊猫是一种中国特有的哺乳动物，也是中国的国宝之一。它们的外貌特征是圆形的黑白相间的身体，有着黑色的毛发和白色的耳朵。大熊猫的食物主要是竹子，它们会在竹林中寻找竹子，并且会将竹子放在竹笼中进行储存。大熊猫的寿命约为20至30年，但由于栖息地的丧失和人类活动的
+```
+
+#### Batch Inference
+
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+def generate_prompt(instruction, input=""):
+    instruction = instruction.strip().replace('\r\n', '\n').replace('\n\n', '\n')
+    input = input.strip().replace('\r\n', '\n').replace('\n\n', '\n')
+    if input:
+        return f"""Instruction: {instruction}
+
+Input: {input}
+
+Response:"""
+    else:
+        return f"""User: hi
+
+Assistant: Hi. I am your assistant and I will provide expert full response in full details. Please feel free to ask any question and I will always answer it.
+
+User: {instruction}
+
+Assistant:"""
+
+model = AutoModelForCausalLM.from_pretrained("RWKV/v5-Eagle-7B-HF", trust_remote_code=True).to(torch.float32)
+tokenizer = AutoTokenizer.from_pretrained("RWKV/v5-Eagle-7B-HF", trust_remote_code=True)
+
+texts = ["请介绍北京的旅游景点", "介绍一下大熊猫", "乌兰察布"]
+prompts = [generate_prompt(text) for text in texts]
+
+inputs = tokenizer(prompts, return_tensors="pt", padding=True)
+outputs = model.generate(inputs["input_ids"], max_new_tokens=128, do_sample=True, temperature=1.0, top_p=0.3, top_k=0, )
+
+for output in outputs:
+    print(tokenizer.decode(output.tolist(), skip_special_tokens=True))
+
+```
+
+output:
+
+```shell
+User: hi
+
+Assistant: Hi. I am your assistant and I will provide expert full response in full details. Please feel free to ask any question and I will always answer it.
+
+User: 请介绍北京的旅游景点
+
+Assistant: 北京是中国的首都，拥有丰富的旅游资源和历史文化遗产。以下是一些北京的旅游景点：
+1. 故宫：位于北京市中心，是明清两代的皇宫，是中国最大的古代宫殿建筑群之一。
+2. 天安门广场：位于北京市中心，是中国最著名的城市广场之一，也是中国最大的城市广场。
+3. 颐和
+User: hi
+
+Assistant: Hi. I am your assistant and I will provide expert full response in full details. Please feel free to ask any question and I will always answer it.
+
+User: 介绍一下大熊猫
+
+Assistant: 大熊猫是一种生活在中国中部地区的哺乳动物，也是中国的国宝之一。它们的外貌特征是圆形的黑白相间的身体，有着黑色的毛发和圆圆的眼睛。大熊猫是一种濒危物种，目前只有在野外的几个保护区才能看到它们的身影。大熊猫的食物主要是竹子，它们会在竹子上寻找食物，并且可以通
+User: hi
+
+Assistant: Hi. I am your assistant and I will provide expert full response in full details. Please feel free to ask any question and I will always answer it.
+
+User: 乌兰察布
+
+Assistant: 乌兰察布是中国新疆维吾尔自治区的一个县级市，位于新疆维吾尔自治区中部，是新疆的第二大城市。乌兰察布市是新疆的第一大城市，也是新疆的重要城市之一。乌兰察布市是新疆的经济中心，也是新疆的重要交通枢纽之一。乌兰察布市的人口约为2.5万人，其中汉族占绝大多数。乌
+```
+
+## Links
+- [Our wiki](https://wiki.rwkv.com)
+- [Recursal.AI Cloud Platform](https://recursal.ai)
+- [Featherless Inference](https://featherless.ai/models/RWKV/Finch-14B)
+- [Blog article, detailing our model launch](https://blog.rwkv.com/p/rwkv-v6-finch-14b-is-here)
+
+## Acknowledgement
+We are grateful for the help and support from the following key groups:
+
+- [Recursal.ai](https://recursal.ai) team for financing the GPU resources, and managing the training of this foundation model - you can run the Eagle line of RWKV models on their cloud / on-premise platform today.
+- EleutherAI for their support, especially in the v5/v6 Eagle/Finch paper
+- Linux Foundation AI & Data group for supporting and hosting the RWKV project