Mark-Arcee
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Browse files- .gitattributes +1 -0
- README.md +35 -0
- config.json +28 -0
- mergekit_config.yml +17 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +30 -0
- tokenizer.json +3 -0
- tokenizer.model +3 -0
- tokenizer_config.json +49 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: apache-2.0
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tags:
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- merge
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- mergekit
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- google/gemma-2b
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- google/gemma-2b-it
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---
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# Gemma-merged-2B-ties
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Gemma-merged-2B-ties is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
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* [google/gemma-2b](https://huggingface.co/google/gemma-2b)
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* [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it)
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## 🧩 Configuration
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```yaml
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models:
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- model: google/gemma-2b
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parameters:
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density: 0.5
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weight: 0.5
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- model: google/gemma-2b-it
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parameters:
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density: 0.5
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weight: 0.5 # weight gradient
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merge_method: ties
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base_model: google/gemma-2b
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parameters:
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normalize: true
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int8_mask: true
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dtype: bfloat16
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```
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config.json
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{
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"_name_or_path": "google/gemma-2b",
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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_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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"torch_dtype": "bfloat16",
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"transformers_version": "4.38.1",
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"use_cache": true,
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"vocab_size": 256000
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}
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mergekit_config.yml
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models:
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- model: google/gemma-2b
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parameters:
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density: 0.5
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weight: 0.5
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- model: google/gemma-2b-it
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parameters:
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density: 0.5
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weight: 0.5 # weight gradient
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merge_method: ties
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base_model: google/gemma-2b
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parameters:
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normalize: true
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int8_mask: true
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dtype: bfloat16
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model-00001-of-00003.safetensors
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model.safetensors.index.json
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special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
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1 |
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{
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|
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"single_word": false
|
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},
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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"single_word": false
|
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}
|
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tokenizer.json
ADDED
@@ -0,0 +1,3 @@
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1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:d0d908b4f9326e0998815690e325b6abbd378978553e10627924dd825db7e243
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size 17477553
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tokenizer.model
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
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3 |
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size 4241003
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tokenizer_config.json
ADDED
@@ -0,0 +1,49 @@
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|
1 |
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|
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|
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|
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|
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|
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|
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|
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},
|
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|
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|
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},
|
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|
30 |
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|
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|
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|
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|
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|
35 |
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"special": true
|
36 |
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}
|
37 |
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},
|
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|
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|
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|
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"model_max_length": 1000000000000000019884624838656,
|
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"pad_token": "<pad>",
|
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"sp_model_kwargs": {},
|
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"spaces_between_special_tokens": false,
|
46 |
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"tokenizer_class": "GemmaTokenizer",
|
47 |
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"unk_token": "<unk>",
|
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"use_default_system_prompt": false
|
49 |
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}
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