diff --git a/python/llm/src/ipex_llm/transformers/convert.py b/python/llm/src/ipex_llm/transformers/convert.py index 09c69232..7a02cc05 100644 --- a/python/llm/src/ipex_llm/transformers/convert.py +++ b/python/llm/src/ipex_llm/transformers/convert.py @@ -327,9 +327,11 @@ def _replace_with_low_bit_linear(model, qtype, modules_to_not_convert=None, optimize_lm_head = False if is_lm_head(name, model_config, out_features): model_type = getattr(model_config, "model_type", None) - if model_type in ["gptj", "llama", "qwen2"] and \ - os.environ.get("IPEX_LLM_LAST_LM_HEAD", None) == "1": - optimize_lm_head = True + if model_type in ["gptj", "llama", "qwen2"]: + if os.environ.get("IPEX_LLM_LAST_LM_HEAD", None) is not None: + optimize_lm_head = os.environ.get("IPEX_LLM_LAST_LM_HEAD", None) == "1" + elif os.environ.get("IPEX_LLM_LOW_MEM", None) is not None: + optimize_lm_head = os.environ.get("IPEX_LLM_LOW_MEM", None) == "1" with init_empty_weights(): new_linear = None is_gptq = is_gptq_linear(module) diff --git a/python/llm/src/ipex_llm/transformers/models/llama.py b/python/llm/src/ipex_llm/transformers/models/llama.py index ac81c5a4..11425b39 100644 --- a/python/llm/src/ipex_llm/transformers/models/llama.py +++ b/python/llm/src/ipex_llm/transformers/models/llama.py @@ -286,6 +286,8 @@ def should_split_qkv_tensor(query_states, bsz, num_heads, q_len, kv_seq_len, out if not output_attentions: if os.environ.get("IPEX_LLM_SPLIT_QKV", None) is not None: return os.environ.get("IPEX_LLM_SPLIT_QKV", None) == "1" + elif os.environ.get("IPEX_LLM_LOW_MEM", None) is not None: + return os.environ.get("IPEX_LLM_LOW_MEM", None) == "1" elif query_states.dtype == torch.float16 and \ query_states.shape[2] >= 6800: # split tensor for memory block limitation diff --git a/python/llm/src/ipex_llm/transformers/models/mistral.py b/python/llm/src/ipex_llm/transformers/models/mistral.py index 3f282295..1891f982 100644 --- a/python/llm/src/ipex_llm/transformers/models/mistral.py +++ b/python/llm/src/ipex_llm/transformers/models/mistral.py @@ -92,6 +92,8 @@ def should_split_qkv_tensor(query_states, bsz, num_heads, q_len, kv_seq_len, out if not output_attentions: if os.environ.get("IPEX_LLM_SPLIT_QKV", None) is not None: return os.environ.get("IPEX_LLM_SPLIT_QKV", None) == "1" + elif os.environ.get("IPEX_LLM_LOW_MEM", None) is not None: + return os.environ.get("IPEX_LLM_LOW_MEM", None) == "1" elif query_states.dtype == torch.float16 and \ query_states.shape[2] >= 6300: # split tensor for memory block limitation