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--- |
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inference: false |
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language: |
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- en |
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license: llama2 |
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model_type: llama |
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pipeline_tag: text-generation |
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tags: |
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- facebook |
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- meta |
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- pytorch |
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- llama |
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- llama-2 |
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- h2ogpt |
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--- |
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h2oGPT clone of [Meta's Llama 2 70B Chat](https://huggingface.co/meta-llama/Llama-2-70b-chat-hf). |
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Try it live on our [h2oGPT demo](https://gpt.h2o.ai) with side-by-side LLM comparisons and private document chat! |
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See how it compares to other models on our [LLM Leaderboard](https://evalgpt.ai/)! |
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See more at [H2O.ai](https://h2o.ai/) |
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## Model Architecture |
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``` |
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LlamaForCausalLM( |
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(model): LlamaModel( |
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(embed_tokens): Embedding(32000, 8192, padding_idx=0) |
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(layers): ModuleList( |
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(0-79): 80 x LlamaDecoderLayer( |
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(self_attn): LlamaAttention( |
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(q_proj): Linear4bit(in_features=8192, out_features=8192, bias=False) |
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(k_proj): Linear4bit(in_features=8192, out_features=1024, bias=False) |
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(v_proj): Linear4bit(in_features=8192, out_features=1024, bias=False) |
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(o_proj): Linear4bit(in_features=8192, out_features=8192, bias=False) |
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(rotary_emb): LlamaRotaryEmbedding() |
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) |
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(mlp): LlamaMLP( |
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(gate_proj): Linear4bit(in_features=8192, out_features=28672, bias=False) |
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(up_proj): Linear4bit(in_features=8192, out_features=28672, bias=False) |
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(down_proj): Linear4bit(in_features=28672, out_features=8192, bias=False) |
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(act_fn): SiLUActivation() |
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) |
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(input_layernorm): LlamaRMSNorm() |
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(post_attention_layernorm): LlamaRMSNorm() |
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) |
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) |
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(norm): LlamaRMSNorm() |
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) |
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(lm_head): Linear(in_features=8192, out_features=32000, bias=False) |
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) |
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``` |
