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Quantization made by Richard Erkhov. |
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[Github](https://github.com/RichardErkhov) |
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[Discord](https://discord.gg/pvy7H8DZMG) |
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[Request more models](https://github.com/RichardErkhov/quant_request) |
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h2ogpt-4096-llama2-7b - GGUF |
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- Model creator: https://huggingface.co/h2oai/ |
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- Original model: https://huggingface.co/h2oai/h2ogpt-4096-llama2-7b/ |
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| Name | Quant method | Size | |
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| ---- | ---- | ---- | |
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| [h2ogpt-4096-llama2-7b.Q2_K.gguf](https://huggingface.co/RichardErkhov/h2oai_-_h2ogpt-4096-llama2-7b-gguf/blob/main/h2ogpt-4096-llama2-7b.Q2_K.gguf) | Q2_K | 2.36GB | |
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| [h2ogpt-4096-llama2-7b.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/h2oai_-_h2ogpt-4096-llama2-7b-gguf/blob/main/h2ogpt-4096-llama2-7b.IQ3_XS.gguf) | IQ3_XS | 2.6GB | |
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| [h2ogpt-4096-llama2-7b.IQ3_S.gguf](https://huggingface.co/RichardErkhov/h2oai_-_h2ogpt-4096-llama2-7b-gguf/blob/main/h2ogpt-4096-llama2-7b.IQ3_S.gguf) | IQ3_S | 2.75GB | |
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| [h2ogpt-4096-llama2-7b.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/h2oai_-_h2ogpt-4096-llama2-7b-gguf/blob/main/h2ogpt-4096-llama2-7b.Q3_K_S.gguf) | Q3_K_S | 2.75GB | |
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| [h2ogpt-4096-llama2-7b.IQ3_M.gguf](https://huggingface.co/RichardErkhov/h2oai_-_h2ogpt-4096-llama2-7b-gguf/blob/main/h2ogpt-4096-llama2-7b.IQ3_M.gguf) | IQ3_M | 2.9GB | |
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| [h2ogpt-4096-llama2-7b.Q3_K.gguf](https://huggingface.co/RichardErkhov/h2oai_-_h2ogpt-4096-llama2-7b-gguf/blob/main/h2ogpt-4096-llama2-7b.Q3_K.gguf) | Q3_K | 3.07GB | |
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| [h2ogpt-4096-llama2-7b.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/h2oai_-_h2ogpt-4096-llama2-7b-gguf/blob/main/h2ogpt-4096-llama2-7b.Q3_K_M.gguf) | Q3_K_M | 3.07GB | |
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| [h2ogpt-4096-llama2-7b.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/h2oai_-_h2ogpt-4096-llama2-7b-gguf/blob/main/h2ogpt-4096-llama2-7b.Q3_K_L.gguf) | Q3_K_L | 3.35GB | |
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| [h2ogpt-4096-llama2-7b.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/h2oai_-_h2ogpt-4096-llama2-7b-gguf/blob/main/h2ogpt-4096-llama2-7b.IQ4_XS.gguf) | IQ4_XS | 3.4GB | |
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| [h2ogpt-4096-llama2-7b.Q4_0.gguf](https://huggingface.co/RichardErkhov/h2oai_-_h2ogpt-4096-llama2-7b-gguf/blob/main/h2ogpt-4096-llama2-7b.Q4_0.gguf) | Q4_0 | 3.56GB | |
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| [h2ogpt-4096-llama2-7b.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/h2oai_-_h2ogpt-4096-llama2-7b-gguf/blob/main/h2ogpt-4096-llama2-7b.IQ4_NL.gguf) | IQ4_NL | 3.58GB | |
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| [h2ogpt-4096-llama2-7b.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/h2oai_-_h2ogpt-4096-llama2-7b-gguf/blob/main/h2ogpt-4096-llama2-7b.Q4_K_S.gguf) | Q4_K_S | 3.59GB | |
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| [h2ogpt-4096-llama2-7b.Q4_K.gguf](https://huggingface.co/RichardErkhov/h2oai_-_h2ogpt-4096-llama2-7b-gguf/blob/main/h2ogpt-4096-llama2-7b.Q4_K.gguf) | Q4_K | 3.8GB | |
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| [h2ogpt-4096-llama2-7b.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/h2oai_-_h2ogpt-4096-llama2-7b-gguf/blob/main/h2ogpt-4096-llama2-7b.Q4_K_M.gguf) | Q4_K_M | 3.8GB | |
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| [h2ogpt-4096-llama2-7b.Q4_1.gguf](https://huggingface.co/RichardErkhov/h2oai_-_h2ogpt-4096-llama2-7b-gguf/blob/main/h2ogpt-4096-llama2-7b.Q4_1.gguf) | Q4_1 | 3.95GB | |
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| [h2ogpt-4096-llama2-7b.Q5_0.gguf](https://huggingface.co/RichardErkhov/h2oai_-_h2ogpt-4096-llama2-7b-gguf/blob/main/h2ogpt-4096-llama2-7b.Q5_0.gguf) | Q5_0 | 4.33GB | |
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| [h2ogpt-4096-llama2-7b.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/h2oai_-_h2ogpt-4096-llama2-7b-gguf/blob/main/h2ogpt-4096-llama2-7b.Q5_K_S.gguf) | Q5_K_S | 4.33GB | |
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| [h2ogpt-4096-llama2-7b.Q5_K.gguf](https://huggingface.co/RichardErkhov/h2oai_-_h2ogpt-4096-llama2-7b-gguf/blob/main/h2ogpt-4096-llama2-7b.Q5_K.gguf) | Q5_K | 4.45GB | |
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| [h2ogpt-4096-llama2-7b.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/h2oai_-_h2ogpt-4096-llama2-7b-gguf/blob/main/h2ogpt-4096-llama2-7b.Q5_K_M.gguf) | Q5_K_M | 4.45GB | |
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| [h2ogpt-4096-llama2-7b.Q5_1.gguf](https://huggingface.co/RichardErkhov/h2oai_-_h2ogpt-4096-llama2-7b-gguf/blob/main/h2ogpt-4096-llama2-7b.Q5_1.gguf) | Q5_1 | 4.72GB | |
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| [h2ogpt-4096-llama2-7b.Q6_K.gguf](https://huggingface.co/RichardErkhov/h2oai_-_h2ogpt-4096-llama2-7b-gguf/blob/main/h2ogpt-4096-llama2-7b.Q6_K.gguf) | Q6_K | 5.15GB | |
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| [h2ogpt-4096-llama2-7b.Q8_0.gguf](https://huggingface.co/RichardErkhov/h2oai_-_h2ogpt-4096-llama2-7b-gguf/blob/main/h2ogpt-4096-llama2-7b.Q8_0.gguf) | Q8_0 | 6.67GB | |
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Original model description: |
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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 7B](https://huggingface.co/meta-llama/Llama-2-7b-hf). |
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This model can be fine-tuned with [H2O.ai](https://h2o.ai/) open-source software: |
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- h2oGPT https://github.com/h2oai/h2ogpt/ |
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- H2O LLM Studio https://h2o.ai/platform/ai-cloud/make/llm-studio/ |
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Try our live [h2oGPT demo](https://gpt.h2o.ai) with side-by-side LLM comparisons and private document chat! |
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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, 4096, padding_idx=0) |
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(layers): ModuleList( |
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(0-31): 32 x LlamaDecoderLayer( |
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(self_attn): LlamaAttention( |
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(q_proj): Linear(in_features=4096, out_features=4096, bias=False) |
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(k_proj): Linear(in_features=4096, out_features=4096, bias=False) |
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(v_proj): Linear(in_features=4096, out_features=4096, bias=False) |
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(o_proj): Linear(in_features=4096, out_features=4096, 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): Linear(in_features=4096, out_features=11008, bias=False) |
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(up_proj): Linear(in_features=4096, out_features=11008, bias=False) |
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(down_proj): Linear(in_features=11008, out_features=4096, 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=4096, out_features=32000, bias=False) |
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) |
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``` |
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