[llama3] Enable a llama3 model.

* I had a NYI assert for GQA. Fixes that.
* Just grabs some pre-made weights of unknown providence to test for gross correctness.

sharktank/sharktank/models/llama/llama.py

@@ -305,10 +305,6 @@ def forward(
                 xq=xq, xk=xk, mask=embedding_batch_mask
             )
 
-        # TODO: Some model variants do some form of kv repetition to expand the
-        # count of kv heads to the count of attention heads used by the q.
-        assert self.head_count == self.head_count_kv, "NYI: KV expansion"
-
         # Full sequence length.
         kv_seq_len = seq_block_ids.shape[1] * self.cache.block_seq_stride
 
@@ -334,6 +330,22 @@ def forward(
         else:
             raise NotImplementedError(f"Unsupported KV cache type: {type(self.cache)}")
 
+        # Expand kv heads for GQA.
+        gqa_n_rep = self.head_count // self.head_count_kv
+        assert gqa_n_rep > 0
+        if gqa_n_rep > 1:
+
+            def repeat_kv(x: torch.Tensor) -> torch.Tensor:
+                bs, slen, n_kv_heads, head_dim = x.shape
+                return (
+                    x.unsqueeze(-2)
+                    .expand(bs, slen, n_kv_heads, gqa_n_rep, head_dim)
+                    .reshape(bs, slen, n_kv_heads * gqa_n_rep, head_dim)
+                )
+
+            xk = repeat_kv(xk)
+            xv = repeat_kv(xv)
+
         # Tranpose into [bs, heads, sl, dim]
         xq = xq.transpose(1, 2)
         keys = xk.transpose(1, 2)

sharktank/sharktank/types/theta.py

@@ -537,11 +537,11 @@ def _dataset_load_helper(
 ) -> Dataset:
     path = Path(path)
     suffixes = path.suffixes
-    if file_type == "gguf" or suffixes == [".gguf"]:
+    if file_type == "gguf" or suffixes == [".gguf"] or suffixes[-1] == ".gguf":
         from . import gguf_interop
 
         return gguf_interop.load_file(path)
-    elif file_type == "irpa" or suffixes == [".irpa"]:
+    elif file_type == "irpa" or suffixes == [".irpa"] or suffixes[-1] == ".irpa":
         return _dataset_load_irpa(path, mmap=mmap)
     else:
         raise IOError(

sharktank/sharktank/utils/hf_datasets.py

@@ -83,6 +83,40 @@ def alias_dataset(from_name: str, to_name: str):
 # Dataset definitions
 ################################################################################
 
+Dataset(
+    "QuantFactory/Llama-3-8B_q4_1_gguf",
+    (
+        RemoteFile(
+            "gguf",
+            "QuantFactory/Meta-Llama-3-8B-GGUF",
+            "Meta-Llama-3-8B.Q4_1.gguf",
+        ),
+        RemoteFile(
+            "tokenizer_config.json",
+            "NousResearch/Meta-Llama-3-8B",
+            "tokenizer_config.json",
+            extra_filenames=["tokenizer.json"],
+        ),
+    ),
+).alias_to("llama3_8B_q4_1")
+
+Dataset(
+    "QuantFactory/Llama-3-8B_q8_0_gguf",
+    (
+        RemoteFile(
+            "gguf",
+            "QuantFactory/Meta-Llama-3-8B-GGUF",
+            "Meta-Llama-3-8B.Q8_0.gguf",
+        ),
+        RemoteFile(
+            "tokenizer_config.json",
+            "NousResearch/Meta-Llama-3-8B",
+            "tokenizer_config.json",
+            extra_filenames=["tokenizer.json"],
+        ),
+    ),
+).alias_to("llama3_8B_q8_0")
+
 Dataset(
     "SlyEcho/open_llama_3b_v2_f16_gguf",
     (