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Model: arcee-ai/Gemma-merged-2B-ties
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2026-04-16 16:40:01 +08:00
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---
license: apache-2.0
tags:
- merge
- mergekit
- google/gemma-2b
- google/gemma-2b-it
---
# Gemma-merged-2B-ties
Gemma-merged-2B-ties is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [google/gemma-2b](https://huggingface.co/google/gemma-2b)
* [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it)
## 🧩 Configuration
```yaml
models:
- model: google/gemma-2b
parameters:
density: 0.5
weight: 0.5
- model: google/gemma-2b-it
parameters:
density: 0.5
weight: 0.5 # weight gradient
merge_method: ties
base_model: google/gemma-2b
parameters:
normalize: true
int8_mask: true
dtype: bfloat16
```

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{
"_name_or_path": "google/gemma-2b",
"architectures": [
"GemmaForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 2,
"eos_token_id": 1,
"head_dim": 256,
"hidden_act": "gelu",
"hidden_size": 2048,
"initializer_range": 0.02,
"intermediate_size": 16384,
"max_position_embeddings": 8192,
"model_type": "gemma",
"num_attention_heads": 8,
"num_hidden_layers": 18,
"num_key_value_heads": 1,
"pad_token_id": 0,
"rms_norm_eps": 1e-06,
"rope_scaling": null,
"rope_theta": 10000.0,
"torch_dtype": "bfloat16",
"transformers_version": "4.38.1",
"use_cache": true,
"vocab_size": 256000
}

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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

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models:
- model: google/gemma-2b
parameters:
density: 0.5
weight: 0.5
- model: google/gemma-2b-it
parameters:
density: 0.5
weight: 0.5 # weight gradient
merge_method: ties
base_model: google/gemma-2b
parameters:
normalize: true
int8_mask: true
dtype: bfloat16

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{
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"tokenizer_class": "GemmaTokenizer",
"unk_token": "<unk>",
"use_default_system_prompt": false
}