Can't compute multiple embeddings in a single call

# Prerequisites

Please answer the following questions for yourself before submitting an issue.

- [x] I am running the latest code. Development is very rapid so there are no tagged versions as of now.
- [x] I carefully followed the [README.md](https://github.com/abetlen/llama-cpp-python/blob/main/README.md).
- [x] I [searched using keywords relevant to my issue](https://docs.github.com/en/issues/tracking-your-work-with-issues/filtering-and-searching-issues-and-pull-requests) to make sure that I am creating a new issue that is not already open (or closed).
- [x] I reviewed the [Discussions](https://github.com/abetlen/llama-cpp-python/discussions), and have a new bug or useful enhancement to share.

# Expected Behavior

Running this code:

```python
model = llama_cpp.Llama ("mxbai-embed-xsmall-v1-q8_0.gguf", embedding = True)
embeddings = model.embed (["Hello", "World"])
```

used to work in v0.3.14

# Current Behavior

The code raises an exception `RuntimeError: llama_decode returned -1`. The following messages are printed to the console:

```
init: invalid seq_id[3][0] = 1 >= 1
encode: failed to initialize batch
```

# Environment and Context

llama-cpp-python was compiled in CUDA mode

# Failure Information (for bugs)

Please help provide information about the failure if this is a bug. If it is not a bug, please remove the rest of this template.

# Steps to Reproduce

```python
Python 3.11.2 (main, Apr 28 2025, 14:11:48) [GCC 12.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import llama_cpp
>>> model = llama_cpp.Llama ("../models/mxbai-embed-xsmall-v1-q8_0.gguf", embedding = True)
...
>>> embeddings = model.embed (["Hello", "World"])
decode: cannot decode batches with this context (calling encode() instead)
init: invalid seq_id[3][0] = 1 >= 1
encode: failed to initialize batch
llama_decode: failed to decode, ret = -1
Traceback (most recent call last):
File "", line 1, in
File ".../site-packages/llama_cpp/llama.py", line 1108, in embed
decode_batch(s_batch)
File ".../site-packages/llama_cpp/llama.py", line 1045, in decode_batch
self._ctx.decode(self._batch)
File ".../site-packages/llama_cpp/_internals.py", line 327, in decode
raise RuntimeError(f"llama_decode returned {return_code}")
RuntimeError: llama_decode returned -1
```

L’erreur se produit dans llama_cpp/llama.py vers la ligne 1108, dans la méthode embed, et vers la ligne 1045, dans decode_batch. Commencez par examiner l’initialisation du batch et la gestion des identifiants de séquence dans les bindings C++ (_internals.py). Examinez les changements apportés à la logique d’embedding entre v0.3.14 et la version actuelle. Exécutez le script de reproduction fourni pour voir l’erreur exacte, puis vérifiez le décodage du batch de la bibliothèque llama.cpp pour plusieurs séquences.

Rédigé par le modèle d'indexation à partir du texte de l'issue.