|
|
--- |
|
|
language: |
|
|
- en |
|
|
- zh |
|
|
- fr |
|
|
- es |
|
|
- de |
|
|
- pt |
|
|
- ru |
|
|
- it |
|
|
- ja |
|
|
- ko |
|
|
- vi |
|
|
- ar |
|
|
tags: |
|
|
- pytorch |
|
|
- text-generation |
|
|
- causal-lm |
|
|
- rwkv |
|
|
license: apache-2.0 |
|
|
datasets: |
|
|
- HuggingFaceFW/fineweb-edu |
|
|
- mlfoundations/dclm-baseline-1.0 |
|
|
- cerebras/SlimPajama-627B |
|
|
- EleutherAI/pile |
|
|
- bigcode/starcoderdata |
|
|
- oscar-corpus/OSCAR-2301 |
|
|
--- |
|
|
|
|
|
# RWKV7-G1 "GooseOne" pure RNN reasoning model |
|
|
|
|
|
**These are BASE models** (pretrained with web/code/synthetic + instruction/chat/reasoning data), suitable for post-training and fine-tuning (check https://huggingface.co/spaces/Jellyfish042/UncheatableEval to see their performance at language modeling). |
|
|
|
|
|
More info & Gradio demo: https://rwkv.com/ |
|
|
|
|
|
For developers: https://github.com/BlinkDL/RWKV-LM |
|
|
|
|
|
RWKV-7 pth => GGUF script: https://github.com/MollySophia/rwkv-mobile/blob/master/converter/convert_rwkv_pth_to_gguf.py |
|
|
|
|
|
Use rwkv pip package 0.8.29+ for RWKV-7 inference: https://pypi.org/project/rwkv/ |
|
|
|
|
|
Efficient inference project: https://github.com/BlinkDL/Albatross |
|
|
|
|
|
RWKV APP: https://github.com/RWKV-APP/RWKV_APP (local inference on Android/iOS) |
|
|
|
|
|
Please use **latest G1a models** if available (better at everything). |
|
|
|
|
|
``` |
|
|
Gxx = Data Version |
|
|
|
|
|
G0x = less than 1 epoch, as training 1 epoch for a large model is expensive :( |
|
|
G0 G0a G0b ... = adding more (newer and better) data, so G0a has better quality (but less) data than G1 |
|
|
|
|
|
G1x = more than 1 epoch |
|
|
G1 G1a G1b ... = adding more (newer and better) data, note G1a has better quality (and more) data than G0a |
|
|
``` |
|
|
|
|
|
Decoding (note: this is for RWKV pip pkg, which apply temp after topp): |
|
|
|
|
|
``` |
|
|
Math: temp 0.3, topp 0.3, alpha_presence 0, alpha_frequency 0, alpha_decay 0.996 |
|
|
|
|
|
Chat: temp 1, topp 0.3, alpha_presence 0.5, alpha_frequency 0.5, alpha_decay 0.996 |
|
|
|
|
|
Creative (great for fiction etc.): temp 0.6, topp 0.6 ~ 0.8, alpha_presence 1 ~ 2, alpha_frequency 0.2, alpha_decay 0.99 |
|
|
``` |
|
|
|
|
|
**There should not be any space at the end of your input (so strip it) or you will upset the tokenizer and see non-English reponse.** |
|
|
|
|
|
Chat prompt (note: better replace all \n\n in USER_PROMPT to \n as i am using \n\n as "chat round separator" in pretrain data): |
|
|
``` |
|
|
System: YOU_CAN_USE_SYSTEM_IF_NEEDED |
|
|
|
|
|
User: PREVIOUS_STUFF |
|
|
|
|
|
Assistant: PREVIOUS_STUFF |
|
|
|
|
|
User: USER_PROMPT |
|
|
|
|
|
Assistant: |
|
|
``` |
|
|
|
|
|
Think prompt: |
|
|
``` |
|
|
User: USER_PROMPT |
|
|
|
|
|
Assistant: <think |
|
|
``` |
|
|
--- |
|
|
Think prompt, alternative style output, **valid for 20250922 and newer** models. Note there is a space before the "think" after USER_PROMPT: |
|
|
``` |
|
|
User: USER_PROMPT think |
|
|
|
|
|
Assistant: <think |
|
|
``` |
|
|
Shorter think (think a bit), same style: |
|
|
``` |
|
|
User: USER_PROMPT think a bit |
|
|
|
|
|
Assistant: <think |
|
|
``` |
|
|
Longer think (think a lot), same style: |
|
|
``` |
|
|
User: USER_PROMPT think a lot |
|
|
|
|
|
Assistant: <think |
|
|
``` |
|
|
--- |
|
|
Fake think prompt: |
|
|
``` |
|
|
User: USER_PROMPT |
|
|
|
|
|
Assistant: <think> |
|
|
</think |
|
|
``` |
|
|
|
