Commit Graph

2 Commits

Author SHA1 Message Date
Lance Martin
12843f292f
community[patch]: llama cpp embeddings reset default n_batch (#17594)
When testing Nomic embeddings --
```
from langchain_community.embeddings import LlamaCppEmbeddings
embd_model_path = "/Users/rlm/Desktop/Code/llama.cpp/models/nomic-embd/nomic-embed-text-v1.Q4_K_S.gguf"
embd_lc = LlamaCppEmbeddings(model_path=embd_model_path)
embedding_lc = embd_lc.embed_query(query)
```

We were seeing this error for strings > a certain size -- 
```
File ~/miniforge3/envs/llama2/lib/python3.9/site-packages/llama_cpp/llama.py:827, in Llama.embed(self, input, normalize, truncate, return_count)
    824     s_sizes = []
    826 # add to batch
--> 827 self._batch.add_sequence(tokens, len(s_sizes), False)
    828 t_batch += n_tokens
    829 s_sizes.append(n_tokens)

File ~/miniforge3/envs/llama2/lib/python3.9/site-packages/llama_cpp/_internals.py:542, in _LlamaBatch.add_sequence(self, batch, seq_id, logits_all)
    540 self.batch.token[j] = batch[i]
    541 self.batch.pos[j] = i
--> 542 self.batch.seq_id[j][0] = seq_id
    543 self.batch.n_seq_id[j] = 1
    544 self.batch.logits[j] = logits_all

ValueError: NULL pointer access
```

The default `n_batch` of llama-cpp-python's Llama is `512` but we were
explicitly setting it to `8`.
 
These need to be set to equal for embedding models. 
* The embedding.cpp example has an assertion to make sure these are
always equal.
* Apparently this is not being done properly in llama-cpp-python.

With `n_batch` set to 8, if more than 8 tokens are passed the batch runs
out of space and it crashes.

This also explains why the CPU compute buffer size was small:

raw client with default `n_batch=512`
```
llama_new_context_with_model:        CPU input buffer size   =     3.51 MiB
llama_new_context_with_model:        CPU compute buffer size =    21.00 MiB
```
langchain with `n_batch=8`
```
llama_new_context_with_model:        CPU input buffer size   =     0.04 MiB
llama_new_context_with_model:        CPU compute buffer size =     0.33 MiB
```

We can work around this by passing `n_batch=512`, but this will not be
obvious to some users:
```
    embedding = LlamaCppEmbeddings(model_path=embd_model_path,
                                   n_batch=512)
```

From discussion w/ @cebtenzzre. Related:

https://github.com/abetlen/llama-cpp-python/issues/1189

Co-authored-by: Bagatur <baskaryan@gmail.com>
2024-03-29 00:47:22 +00:00
Bagatur
ed58eeb9c5
community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463)
Moved the following modules to new package langchain-community in a backwards compatible fashion:

```
mv langchain/langchain/adapters community/langchain_community
mv langchain/langchain/callbacks community/langchain_community/callbacks
mv langchain/langchain/chat_loaders community/langchain_community
mv langchain/langchain/chat_models community/langchain_community
mv langchain/langchain/document_loaders community/langchain_community
mv langchain/langchain/docstore community/langchain_community
mv langchain/langchain/document_transformers community/langchain_community
mv langchain/langchain/embeddings community/langchain_community
mv langchain/langchain/graphs community/langchain_community
mv langchain/langchain/llms community/langchain_community
mv langchain/langchain/memory/chat_message_histories community/langchain_community
mv langchain/langchain/retrievers community/langchain_community
mv langchain/langchain/storage community/langchain_community
mv langchain/langchain/tools community/langchain_community
mv langchain/langchain/utilities community/langchain_community
mv langchain/langchain/vectorstores community/langchain_community
mv langchain/langchain/agents/agent_toolkits community/langchain_community
mv langchain/langchain/cache.py community/langchain_community
mv langchain/langchain/adapters community/langchain_community
mv langchain/langchain/callbacks community/langchain_community/callbacks
mv langchain/langchain/chat_loaders community/langchain_community
mv langchain/langchain/chat_models community/langchain_community
mv langchain/langchain/document_loaders community/langchain_community
mv langchain/langchain/docstore community/langchain_community
mv langchain/langchain/document_transformers community/langchain_community
mv langchain/langchain/embeddings community/langchain_community
mv langchain/langchain/graphs community/langchain_community
mv langchain/langchain/llms community/langchain_community
mv langchain/langchain/memory/chat_message_histories community/langchain_community
mv langchain/langchain/retrievers community/langchain_community
mv langchain/langchain/storage community/langchain_community
mv langchain/langchain/tools community/langchain_community
mv langchain/langchain/utilities community/langchain_community
mv langchain/langchain/vectorstores community/langchain_community
mv langchain/langchain/agents/agent_toolkits community/langchain_community
mv langchain/langchain/cache.py community/langchain_community
```

Moved the following to core
```
mv langchain/langchain/utils/json_schema.py core/langchain_core/utils
mv langchain/langchain/utils/html.py core/langchain_core/utils
mv langchain/langchain/utils/strings.py core/langchain_core/utils
cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py
rm langchain/langchain/utils/env.py
```

See .scripts/community_split/script_integrations.sh for all changes
2023-12-11 13:53:30 -08:00