From 2f1f81d2e74c92d89ad009a50fe9d69d9be2d94c Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Sat, 2 May 2026 01:31:09 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: wenbopan/Faro-Yi-9B Source: Original Platform --- .gitattributes | 35 +++ README.md | 106 ++++++++ config.json | 29 ++ generation_config.json | 11 + model-00001-of-00004.safetensors | 3 + model-00002-of-00004.safetensors | 3 + model-00003-of-00004.safetensors | 3 + model-00004-of-00004.safetensors | 3 + model.safetensors.index.json | 442 +++++++++++++++++++++++++++++++ special_tokens_map.json | 30 +++ tokenizer.model | 3 + tokenizer_config.json | 44 +++ 12 files changed, 712 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 config.json create mode 100644 generation_config.json create mode 100644 model-00001-of-00004.safetensors create mode 100644 model-00002-of-00004.safetensors create mode 100644 model-00003-of-00004.safetensors create mode 100644 model-00004-of-00004.safetensors create mode 100644 model.safetensors.index.json create mode 100644 special_tokens_map.json create mode 100644 tokenizer.model create mode 100644 tokenizer_config.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..a6344aa --- /dev/null +++ b/.gitattributes @@ -0,0 +1,35 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..7d6303c --- /dev/null +++ b/README.md @@ -0,0 +1,106 @@ +--- +license: mit +datasets: +- wenbopan/Fusang-v1 +- wenbopan/OpenOrca-zh-20k +language: +- zh +- en +--- + +![image/webp](https://cdn-uploads.huggingface.co/production/uploads/62cd3a3691d27e60db0698b0/s21sMRxRT56c5t4M15GBP.webp) + +**The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.** + +# Faro-Yi-9B +Faro-Yi-9B is an improved [Yi-9B-200K](https://huggingface.co/01-ai/Yi-9B-200K) with extensive instruction tuning on [Fusang-V1](https://huggingface.co/datasets/wenbopan/Fusang-v1). Compared to Yi-9B-200K, Faro-Yi-9B has gained greater capability in various downstream tasks and long-context modeling thanks to the large-scale synthetic data in Fusang-V1. + +Just like Yi-9B-200K, Faro-Yi-9B supports up to 200K context length. + +## How to Use + +Faro-Yi-9B uses the chatml template and performs well in both short and long contexts. For longer inputs under **24GB of VRAM**, I recommend to use vLLM to have a max prompt of 32K. Setting `kv_cache_dtype="fp8_e5m2"` allows for 48K input length. 4bit-AWQ quantization on top of that can boost input length to 160K, albeit with some performance impact. Adjust `max_model_len` arg in vLLM or `config.json` to avoid OOM. + + +```python +import io +import requests +from PyPDF2 import PdfReader +from vllm import LLM, SamplingParams + +llm = LLM(model="wenbopan/Faro-Yi-9B", kv_cache_dtype="fp8_e5m2", max_model_len=100000) + +pdf_data = io.BytesIO(requests.get("https://arxiv.org/pdf/2303.08774.pdf").content) +document = "".join(page.extract_text() for page in PdfReader(pdf_data).pages) # 100 pages + +question = f"{document}\n\nAccording to the paper, what is the parameter count of GPT-4?" +messages = [ {"role": "user", "content": question} ] # 83K tokens +prompt = llm.get_tokenizer().apply_chat_template(messages, add_generation_prompt=True, tokenize=False) +output = llm.generate(prompt, SamplingParams(temperature=0.8, max_tokens=500)) +print(output[0].outputs[0].text) +# Yi-9B-200K: 175B. GPT-4 has 175B \nparameters. How many models were combined to create GPT-4? Answer: 6. ... +# Faro-Yi-9B: GPT-4 does not have a publicly disclosed parameter count due to the competitive landscape and safety implications of large-scale models like GPT-4. ... +``` + + +
Or With Transformers + +```python +from transformers import AutoModelForCausalLM, AutoTokenizer + +model = AutoModelForCausalLM.from_pretrained('wenbopan/Faro-Yi-9B', device_map="cuda") +tokenizer = AutoTokenizer.from_pretrained('wenbopan/Faro-Yi-9B') +messages = [ + {"role": "system", "content": "You are a helpful assistant. Always answer with a short response."}, + {"role": "user", "content": "Tell me what is Pythagorean theorem like you are a pirate."} +] + +input_ids = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt").to(model.device) +generated_ids = model.generate(input_ids, max_new_tokens=512, temperature=0.5) +response = tokenizer.decode(generated_ids[0], skip_special_tokens=True) # Aye, matey! The Pythagorean theorem is a nautical rule that helps us find the length of the third side of a triangle. ... +``` + +
+ +## Performance + +Faro-Yi-9B enhances its ability compared to Yi-9B-200K in most dimensions, especially in long-range modeling and bilingual (English, Chinese) understanding. Faro is competitive among all open-sourced models at around 9B parameters. + +
Benchmark Results + +### Fact-based Evaluation (Open LLM Leaderboard) + +| **Metric** | **MMLU** | **GSM8K** | **HellaSwag** | **TruthfulQA** | **Arc** | **Winogrande** | +| -------------- | --------- | --------- | ------------- | -------------- | ----------- | -------------- | +| **Yi-9B-200K** | 65.73 | 50.49 | 56.72 | 33.80 | 69.25 | 71.67 | +| **Faro-Yi-9B** | **68.80** | **63.08** | **57.28** | **40.86** | **72.58** | 71.11 | + +### Long-context Modeling ([LongBench](https://github.com/THUDM/LongBench)) + +| **Name** | **Average_zh** | **Average_en** | **Code Completion** | +|----------------|----------------|----------------|---------------------| +| **Yi-9B-200K** | 30.288 | 36.7071 | 72.2 | +| **Faro-Yi-9B** | **41.092** | **40.9536** | 46.0 | + +
+Score breakdown + +| **Name** | **Few-shot Learning_en** | **Synthetic Tasks_en** | **Single-Doc QA_en** | **Multi-Doc QA_en** | **Summarization_en** | **Few-shot Learning_zh** | **Synthetic Tasks_zh** | **Single-Doc QA_zh** | **Multi-Doc QA_zh** | **Summarization_zh** | +|----------------|--------------------------|------------------------|----------------------|---------------------|----------------------|--------------------------|------------------------|----------------------|---------------------|----------------------| +| **Yi-9B-200K** | 60.6 | 22.8 | 30.9 | 38.9 | 25.8 | 46.5 | 28.0 | 49.6 | 17.7 | 9.7 | +| **Faro-Yi-9B** | **63.8** | **40.2** | **36.2** | 38.0 | **26.3** | 30.0 | **75.1** | **55.6** | **30.7** | **14.1** | + +
+ +### Performance on Preference (MT-Bench) + +![image/png](https://cdn-uploads.huggingface.co/production/uploads/62cd3a3691d27e60db0698b0/M0Kc64sIsbNyCCvrRk1Lv.png) + +### Bilingual Ability (CMMLU & MMLU) + +| **Name** | MMLU | **CMMLU** | +| -------------- | --------- | --------- | +| **Yi-9B-200K** | 65.73 | 71.97 | +| **Faro-Yi-9B** | **68.80** | **73.28** | + +
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