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Point `llama-3.1-70b-bf16` model to the actually bf16 version
82c7ce69f6ea966daa1d8b96f3a837d20b193bc7 · 2024-10-05 11:43:46 -0700 · Mark Van Aken
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commit 82c7ce69f6ea966daa1d8b96f3a837d20b193bc7
Author: Mark Van Aken <1727697+vanakema@users.noreply.github.com>
Date: Sat Oct 5 11:43:46 2024 -0700
Point `llama-3.1-70b-bf16` model to the actually bf16 version
---
exo/models.py | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/exo/models.py b/exo/models.py
index 1eaabed3..857317d8 100644
--- a/exo/models.py
+++ b/exo/models.py
@@ -17,7 +17,7 @@ model_base_shards = {
"TinygradDynamicShardInferenceEngine": Shard(model_id="NousResearch/Meta-Llama-3.1-70B-Instruct", start_layer=0, end_layer=0, n_layers=80),
},
"llama-3.1-70b-bf16": {
- "MLXDynamicShardInferenceEngine": Shard(model_id="mlx-community/Meta-Llama-3.1-70B-Instruct-bf16", start_layer=0, end_layer=0, n_layers=80),
+ "MLXDynamicShardInferenceEngine": Shard(model_id="mlx-community/Meta-Llama-3.1-70B-Instruct-bf16-CORRECTED", start_layer=0, end_layer=0, n_layers=80),
"TinygradDynamicShardInferenceEngine": Shard(model_id="NousResearch/Meta-Llama-3.1-70B-Instruct", start_layer=0, end_layer=0, n_layers=80),
},
"llama-3.1-405b": {"MLXDynamicShardInferenceEngine": Shard(model_id="mlx-community/Meta-Llama-3.1-405B-4bit", start_layer=0, end_layer=0, n_layers=126),},
← 9ffd8116 Use official nvidia-ml-py instead of pynvml
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