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rwkv-rs/rwkv7-g1-st
rwkv7-g1-st is a text generation model from rwkv-rs. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
This repository contains native Transformers Safetensors conversions of canonical RWKV-7 G1 checkpoints from BlinkDL/rwkv7-g1 and selected temporary training checkpoints from BlinkDL/temp-latest-training-models. Each…
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From the Hugging Face model README
This repository contains native Transformers Safetensors conversions of canonical RWKV-7 G1 checkpoints from BlinkDL/rwkv7-g1 and selected temporary training checkpoints from BlinkDL/temp-latest-training-models. Each checkpoint is a self-contained subfolder with
model weights, configuration, the native RWKV World tokenizer, and chat prompt
template. No remote model code is required.
| Checkpoint | Parameters | Context | Subfolder |
|---|---|---|---|
| RWKV-7 G1i 1.5B | 1,527,668,736 | 16,384 | rwkv7-g1i-1.5b-20260805-ctx16384 |
| RWKV-7 G1i 2.9B | 2,948,065,280 | 16,384 | rwkv7-g1i-2.9b-20260805-ctx16384 |
| RWKV-7 G1i 7.2B | 7,199,932,416 | 16,384 | rwkv7-g1i-7.2b-20260805-ctx16384 |
| RWKV-7 G1i 13.3B | 13,270,298,624 | 16,384 | rwkv7-g1i-13.3b-20260805-ctx16384 |
| RWKV-7 G1j 1.5B | 1,527,404,544 | 16,384 | rwkv7-g1j-1.5b-20260831-ctx16384 |
| RWKV-7 G1j 2.9B | 2,947,735,040 | 16,384 | rwkv7-g1j-2.9b-20260831-ctx16384 |
| RWKV-7 G1j 7.2B | 7,199,141,888 | 16,384 | rwkv7-g1j-7.2b-20260831-ctx16384 |
| RWKV-7 G1j 13.3B | 13,269,245,952 | 16,384 | rwkv7-g1j-13.3b-20260831-ctx16384 |
| RWKV-7 G1k 1.5B | 1,527,404,544 | 25,600 | rwkv7-g1k-1.5b-20260930-ctx25600 |
| RWKV-7 G1k 2.9B | 2,947,735,040 | 25,600 | rwkv7-g1k-2.9b-20260930-ctx25600 |
| RWKV-7 G1k 7.2B | 7,199,141,888 | 25,600 | rwkv7-g1k-7.2b-20260930-ctx25600 |
| RWKV-7 G1k 13.3B | 13,269,245,952 | 25,600 | rwkv7-g1k-13.3b-20260930-ctx25600 |
| RWKV-7 G1l 1.5B | 1,527,404,544 | 34,304 | rwkv7-g1l-1.5b-20261031-ctx34304 |
| RWKV-7 G1l 2.9B | 2,947,735,040 | 34,304 | rwkv7-g1l-2.9b-20261031-ctx34304 |
| RWKV-7 G1l 7.2B | 7,199,141,888 | 34,304 | rwkv7-g1l-7.2b-20261031-ctx34304 |
| RWKV-7 G1l 13.3B | 13,269,245,952 | 34,304 | rwkv7-g1l-13.3b-20261031-ctx34304 |
The repository root intentionally does not contain a default model checkpoint. Select one of the subfolders explicitly.
These are preview training checkpoints, retaining the original source filenames as subfolder names. Source revision: 624363d666cf64e8fbeb1b2e029aef78ab1dec08. Exact source-to-Safetensors comparisons and native reload checks passed for every checkpoint; each subfolder records its source and shard SHA256 values in PROVENANCE.md.
| Size | Source checkpoint | Parameters | Configured context | Subfolder |
|---|---|---|---|---|
| 1.5B | rwkv-g1l-1b-temp-6331.pth | 1,527,404,544 | 32,768 | rwkv-g1l-1b-temp-6331 |
| 2.9B | rwkv-g1l-3b-temp-5764.pth | 2,947,735,040 | 32,768 | rwkv-g1l-3b-temp-5764 |
| 7.2B | rwkv-g1l-7b-temp-3797.pth | 7,199,141,888 | 32,768 | rwkv-g1l-7b-temp-3797 |
| 13.3B | rwkv-g1l-13b-temp-5497.pth | 13,269,245,952 | 32,768 | rwkv-g1l-13b-temp-5497 |
The context value is deployment metadata matching the existing serving limit. The temporary source filenames do not declare a training context length.
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
repo_id = "rwkv-rs/rwkv7-g1-st"
subfolder = "rwkv7-g1j-2.9b-20260831-ctx16384"
tokenizer = AutoTokenizer.from_pretrained(
repo_id,
subfolder=subfolder,
trust_remote_code=False,
)
model = AutoModelForCausalLM.from_pretrained(
repo_id,
subfolder=subfolder,
dtype=torch.float16,
trust_remote_code=False,
)
RWKV-7 product computation is delegated to the published FlashRWKV2 operator package. Unsupported hardware or a missing native operator fails closed; there is no repository-local PyTorch, FLA, or CUDA-kernel fallback.
model_type="rwkv", RwkvForCausalLM.architecture_version="rwkv7".config.json, three generation configurations,
Safetensors, tokenizer files, chat_template.jinja, and PROVENANCE.md.rwkv_vocab_v20230424.json is retained as the immutable canonical
source vocabulary asset used to build the native tokenizer artifacts.The included chat template is a prompt interface. It does not claim that these base checkpoints are safety aligned.
The converted model weights are distributed under Apache-2.0. FlashRWKV2 is a separate MIT-licensed operator package.