初始化项目，由ModelHub XC社区提供模型

Model: h2oai/h2ogpt-4096-llama2-70b
Source: Original Platform

README.md

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+---
+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 70B](https://huggingface.co/meta-llama/Llama-2-70b-hf).
+
+This model can be fine-tuned with [H2O.ai](https://h2o.ai/) open-source software:
+- h2oGPT https://github.com/h2oai/h2ogpt/
+- H2O LLM Studio https://h2o.ai/platform/ai-cloud/make/llm-studio/
+
+Try our live [h2oGPT demo](https://gpt.h2o.ai) with side-by-side LLM comparisons and private document chat!
+
+
+## Model Architecture
+
+```
+LlamaForCausalLM(
+  (model): LlamaModel(
+    (embed_tokens): Embedding(32000, 8192, padding_idx=0)
+    (layers): ModuleList(
+      (0-79): 80 x LlamaDecoderLayer(
+        (self_attn): LlamaAttention(
+          (q_proj): Linear4bit(in_features=8192, out_features=8192, bias=False)
+          (k_proj): Linear4bit(in_features=8192, out_features=1024, bias=False)
+          (v_proj): Linear4bit(in_features=8192, out_features=1024, bias=False)
+          (o_proj): Linear4bit(in_features=8192, out_features=8192, bias=False)
+          (rotary_emb): LlamaRotaryEmbedding()
+        )
+        (mlp): LlamaMLP(
+          (gate_proj): Linear4bit(in_features=8192, out_features=28672, bias=False)
+          (up_proj): Linear4bit(in_features=8192, out_features=28672, bias=False)
+          (down_proj): Linear4bit(in_features=28672, out_features=8192, bias=False)
+          (act_fn): SiLUActivation()
+        )
+        (input_layernorm): LlamaRMSNorm()
+        (post_attention_layernorm): LlamaRMSNorm()
+      )
+    )
+    (norm): LlamaRMSNorm()
+  )
+  (lm_head): Linear(in_features=8192, out_features=32000, bias=False)
+)
+```