Model Intelligence Sheet
WariHima/hourai2-10m-embedding-gguf overview
hourai2 10m embedding gguf logo assets/Hou Rai2 10m embedding gguf logo.png 蓬莱2 50m embedding gguf can use upsteream llama.cpp qunat type BF16 変換時、qwen3nextがgp…
Runs locally from ~18.9 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
1 GGUF files detected
Direct downloads for local inference
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| hourai2-10m-embedding.gguf | GGUF | GGUF | 18.9 MB | Download |
Model Details
Model README
---
license: cc-by-sa-4.0
language:
- ja
base_model:
- WariHima/hourai2-10m-embedding
---
!hourai2 10m embedding gguf logo
蓬莱2 50m embedding gguf
can use upsteream llama.cpp
qunat type
- BF16
変換時、qwen3nextがgpt-2トークナイザで使用することを想定されていなかったため、
llama.cppリポジトリのconversion/base.pyファイルの
以下のエラーをバイパスする必要がありました。
1687=1699付近
if res is None:
logger.warning("\n")
logger.warning("**************************************************************************************")
logger.warning("** WARNING: The BPE pre-tokenizer was not recognized!")
logger.warning("** There are 2 possible reasons for this:")
logger.warning("** - the model has not been added to convert_hf_to_gguf_update.py yet")
logger.warning("** - the pre-tokenization config has changed upstream")
logger.warning("** Check your model files and convert_hf_to_gguf_update.py and update them accordingly.")
logger.warning("** ref: https://github.com/ggml-org/llama.cpp/pull/6920")
logger.warning("**")
logger.warning(f"** chkhsh: {chkhsh}")
logger.warning("**************************************************************************************")
logger.warning("\n")
return "default"
#raise NotImplementedError("BPE pre-tokenizer was not recognized - update get_vocab_base_pre()")
想定されていないことによる変換時のエラーなので、推論時はmainstreamのllama.cppで動作します。Run WariHima/hourai2-10m-embedding-gguf with guIDE
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Source: Hugging Face · Compare models