初始化项目，由ModelHub XC社区提供模型

Model: h2oai/h2ogpt-4096-llama2-7b-chat
Source: Original Platform

README.md

@@ -0,0 +1,54 @@
+---
+inference: false
+language:
+- en
+license: llama2
+model_type: llama
+pipeline_tag: text-generation
+tags:
+- facebook
+- meta
+- pytorch
+- llama
+- llama-2
+- h2ogpt
+---
+
+h2oGPT clone of [Meta's Llama 2 7B Chat](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf).
+
+Try it live on our [h2oGPT demo](https://gpt.h2o.ai) with side-by-side LLM comparisons and private document chat!
+
+See how it compares to other models on our [LLM Leaderboard](https://evalgpt.ai/)!
+
+See more at [H2O.ai](https://h2o.ai/)
+
+
+## Model Architecture
+```
+LlamaForCausalLM(
+  (model): LlamaModel(
+    (embed_tokens): Embedding(32000, 4096, padding_idx=0)
+    (layers): ModuleList(
+      (0-31): 32 x LlamaDecoderLayer(
+        (self_attn): LlamaAttention(
+          (q_proj): Linear(in_features=4096, out_features=4096, bias=False)
+          (k_proj): Linear(in_features=4096, out_features=4096, bias=False)
+          (v_proj): Linear(in_features=4096, out_features=4096, bias=False)
+          (o_proj): Linear(in_features=4096, out_features=4096, bias=False)
+          (rotary_emb): LlamaRotaryEmbedding()
+        )
+        (mlp): LlamaMLP(
+          (gate_proj): Linear(in_features=4096, out_features=11008, bias=False)
+          (up_proj): Linear(in_features=4096, out_features=11008, bias=False)
+          (down_proj): Linear(in_features=11008, out_features=4096, bias=False)
+          (act_fn): SiLUActivation()
+        )
+        (input_layernorm): LlamaRMSNorm()
+        (post_attention_layernorm): LlamaRMSNorm()
+      )
+    )
+    (norm): LlamaRMSNorm()
+  )
+  (lm_head): Linear(in_features=4096, out_features=32000, bias=False)
+)
+```