Crashing with "IndexError: index 200 is out of bounds for axis 0 with size 200"

Installed from conda environment with pip
**Version: '0.2.69'**
The code is as follow:
```

llm = Llama(
model_path="/data/codelama-2024-02/CodeLlama-7b-Python/ggml-model-f16.gguf",
seed=1023, # Uncomment to set a specific seed
n_ctx=200, # Uncomment to increase the context window
n_batch=200,
verbose=True,
)
llm(" Your task is to write a Python script that loads from CSV file ",
max_tokens=1024, echo=True)
```
-----------------------------
Error message
```

File [~/anaconda3/envs/pytorch_py39_cu11.8/lib/python3.9/site-packages/llama_cpp/llama.py:1588](http://kaui:8888/home/hvu/anaconda3/envs/pytorch_py39_cu11.8/lib/python3.9/site-packages/llama_cpp/llama.py#line=1587), in Llama.__call__(self, prompt, suffix, max_tokens, temperature, top_p, min_p, typical_p, logprobs, echo, stop, frequency_penalty, presence_penalty, repeat_penalty, top_k, stream, seed, tfs_z, mirostat_mode, mirostat_tau, mirostat_eta, model, stopping_criteria, logits_processor, grammar, logit_bias)
1524 def __call__(
1525 self,
1526 prompt: str,
(...)
1550 logit_bias: Optional[Dict[str, float]] = None,
1551 ) -> Union[CreateCompletionResponse, Iterator[CreateCompletionStreamResponse]]:
1552 """Generate text from a prompt.
1553
1554 Args:
(...)
1586 Response object containing the generated text.
1587 """
-> 1588 return self.create_completion(
1589 prompt=prompt,
1590 suffix=suffix,
1591 max_tokens=max_tokens,
1592 temperature=temperature,
1593 top_p=top_p,
1594 min_p=min_p,
1595 typical_p=typical_p,
1596 logprobs=logprobs,
1597 echo=echo,
1598 stop=stop,
1599 frequency_penalty=frequency_penalty,
1600 presence_penalty=presence_penalty,
1601 repeat_penalty=repeat_penalty,
1602 top_k=top_k,
1603 stream=stream,
1604 seed=seed,
1605 tfs_z=tfs_z,
1606 mirostat_mode=mirostat_mode,
1607 mirostat_tau=mirostat_tau,
1608 mirostat_eta=mirostat_eta,
1609 model=model,
1610 stopping_criteria=stopping_criteria,
1611 logits_processor=logits_processor,
1612 grammar=grammar,
1613 logit_bias=logit_bias,
1614 )

File [~/anaconda3/envs/pytorch_py39_cu11.8/lib/python3.9/site-packages/llama_cpp/llama.py:1521](http://kaui:8888/home/hvu/anaconda3/envs/pytorch_py39_cu11.8/lib/python3.9/site-packages/llama_cpp/llama.py#line=1520), in Llama.create_completion(self, prompt, suffix, max_tokens, temperature, top_p, min_p, typical_p, logprobs, echo, stop, frequency_penalty, presence_penalty, repeat_penalty, top_k, stream, seed, tfs_z, mirostat_mode, mirostat_tau, mirostat_eta, model, stopping_criteria, logits_processor, grammar, logit_bias)
1519 chunks: Iterator[CreateCompletionStreamResponse] = completion_or_chunks
1520 return chunks
-> 1521 completion: Completion = next(completion_or_chunks) # type: ignore
1522 return completion

File [~/anaconda3/envs/pytorch_py39_cu11.8/lib/python3.9/site-packages/llama_cpp/llama.py:1046](http://kaui:8888/home/hvu/anaconda3/envs/pytorch_py39_cu11.8/lib/python3.9/site-packages/llama_cpp/llama.py#line=1045), in Llama._create_completion(self, prompt, suffix, max_tokens, temperature, top_p, min_p, typical_p, logprobs, echo, stop, frequency_penalty, presence_penalty, repeat_penalty, top_k, stream, seed, tfs_z, mirostat_mode, mirostat_tau, mirostat_eta, model, stopping_criteria, logits_processor, grammar, logit_bias)
1044 finish_reason = "length"
1045 multibyte_fix = 0
-> 1046 for token in self.generate(
1047 prompt_tokens,
1048 top_k=top_k,
1049 top_p=top_p,
1050 min_p=min_p,
1051 typical_p=typical_p,
1052 temp=temperature,
1053 tfs_z=tfs_z,
1054 mirostat_mode=mirostat_mode,
1055 mirostat_tau=mirostat_tau,
1056 mirostat_eta=mirostat_eta,
1057 frequency_penalty=frequency_penalty,
1058 presence_penalty=presence_penalty,
1059 repeat_penalty=repeat_penalty,
1060 stopping_criteria=stopping_criteria,
1061 logits_processor=logits_processor,
1062 grammar=grammar,
1063 ):
1064 assert self._model.model is not None
1065 if llama_cpp.llama_token_is_eog(self._model.model, token):

File [~/anaconda3/envs/pytorch_py39_cu11.8/lib/python3.9/site-packages/llama_cpp/llama.py:709](http://kaui:8888/home/hvu/anaconda3/envs/pytorch_py39_cu11.8/lib/python3.9/site-packages/llama_cpp/llama.py#line=708), in Llama.generate(self, tokens, top_k, top_p, min_p, typical_p, temp, repeat_penalty, reset, frequency_penalty, presence_penalty, tfs_z, mirostat_mode, mirostat_tau, mirostat_eta, penalize_nl, logits_processor, stopping_criteria, grammar)
707 # Eval and sample
708 while True:
--> 709 self.eval(tokens)
710 while sample_idx < self.n_tokens:
711 token = self.sample(
712 top_k=top_k,
713 top_p=top_p,
(...)
727 idx=sample_idx,
728 )

File [~/anaconda3/envs/pytorch_py39_cu11.8/lib/python3.9/site-packages/llama_cpp/llama.py:560](http://kaui:8888/home/hvu/anaconda3/envs/pytorch_py39_cu11.8/lib/python3.9/site-packages/llama_cpp/llama.py#line=559), in Llama.eval(self, tokens)
558 cols = self._n_vocab
559 logits = self._ctx.get_logits()[: rows * cols]
--> 560 self.scores[n_past + n_tokens - 1, :].reshape(-1)[: :] = logits
561 # Update n_tokens
562 self.n_tokens += n_tokens

IndexError: index 200 is out of bounds for axis 0 with size 200
```