h2oai_-_h2ogpt-4096-llama2-7b-chat-4bits

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h2ogpt-4096-llama2-7b-chat - bnb 4bits

• Model creator: https://huggingface.co/h2oai/
• Original model: https://huggingface.co/h2oai/h2ogpt-4096-llama2-7b-chat/

Original model description:

inference: false language:

• en license: llama2 model_type: llama pipeline_tag: text-generation tags:
• facebook
• meta
• pytorch
• llama
• llama-2
• h2ogpt

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h2oGPT clone of Meta's Llama 2 7B Chat.

Try it live on our h2oGPT demo with side-by-side LLM comparisons and private document chat!

See how it compares to other models on our LLM Leaderboard!

See more at 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)
)