---
license: llama2
---
# What is it?
This is a quantized version of *h2oai/h2ogpt-4096-llama2-13b-chat*, formatted in GGUF format to be run with llama.cpp and similar inference tools. The convert.py script from llama.cpp was used for the conversion.

## Available Formats
| Format | Bits | Use case |
| ---- | ---- | ----- |
| q8_0 | 8 | Original quant method, 8-bit. |

# Original Model Card

h2oGPT clone of [Meta's Llama 2 13B Chat](https://huggingface.co./meta-llama/Llama-2-13b-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, 5120, padding_idx=0)
    (layers): ModuleList(
      (0-39): 40 x LlamaDecoderLayer(
        (self_attn): LlamaAttention(
          (q_proj): Linear(in_features=5120, out_features=5120, bias=False)
          (k_proj): Linear(in_features=5120, out_features=5120, bias=False)
          (v_proj): Linear(in_features=5120, out_features=5120, bias=False)
          (o_proj): Linear(in_features=5120, out_features=5120, bias=False)
          (rotary_emb): LlamaRotaryEmbedding()
        )
        (mlp): LlamaMLP(
          (gate_proj): Linear(in_features=5120, out_features=13824, bias=False)
          (up_proj): Linear(in_features=5120, out_features=13824, bias=False)
          (down_proj): Linear(in_features=13824, out_features=5120, bias=False)
          (act_fn): SiLUActivation()
        )
        (input_layernorm): LlamaRMSNorm()
        (post_attention_layernorm): LlamaRMSNorm()
      )
    )
    (norm): LlamaRMSNorm()
  )
  (lm_head): Linear(in_features=5120, out_features=32000, bias=False)
)
```