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- config.json +28 -0
README.md
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---
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license: gemma
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inference: false
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---
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license: gemma
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inference: false
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tags:
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- green
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- p2
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- llmware-chat
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- ov
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---
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# gemma-2b-it-ov
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**gemma-2b-it-ov-ov** is an OpenVino int4 quantized version of Google's Gemma-2B with Instruct Training (IT), providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.
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[**gemma-2b-it-ov**](https://huggingface.co/google/gemma-2b-it) is a leading open source foundation model from Google.
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### Model Description
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- **Developed by:** Google
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- **Quantized by:** llmware
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- **Model type:** gemma-2b
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- **Parameters:** 2 billion
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- **Model Parent:** google/gemma-2b-it
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- **Language(s) (NLP):** English
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- **License:** Apache 2.0
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- **Uses:** General purpose chat
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- **RAG Benchmark Accuracy Score:** NA
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- **Quantization:** int4
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## Model Card Contact
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[llmware on github](https://www.github.com/llmware-ai/llmware)
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[llmware on hf](https://www.huggingface.co/llmware)
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[llmware website](https://www.llmware.ai)
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config.json
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{
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"_name_or_path": "google/gemma-2b-it",
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"architectures": [
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"GemmaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 2,
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"eos_token_id": 1,
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"head_dim": 256,
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"hidden_act": "gelu",
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"hidden_activation": "gelu_pytorch_tanh",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 16384,
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"max_position_embeddings": 8192,
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"model_type": "gemma",
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"num_attention_heads": 8,
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"num_hidden_layers": 18,
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"num_key_value_heads": 1,
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"pad_token_id": 0,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"transformers_version": "4.43.4",
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"use_cache": true,
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"vocab_size": 256000
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}
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