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Browse files- README.md +91 -0
- config.json +30 -0
- mergekit_config.yml +7 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +41 -0
README.md
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---
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base_model: []
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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# 2x_bagel-34b-v0.2
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the passthrough merge method.
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### Models Merged
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The following models were included in the merge:
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* ./jondurbin_bagel-34b-v0.2
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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dtype: float32
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merge_method: passthrough
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slices:
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- sources:
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- layer_range: [0, 20]
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model: "jondurbin_bagel-34b-v0.2"
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parameters:
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scale:
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- filter: q_proj
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value: 0.7071067812
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- filter: k_proj
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value: 0.7071067812
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- value: 1
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- sources:
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- layer_range: [10, 30]
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model: "jondurbin_bagel-34b-v0.2"
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parameters:
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scale:
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- filter: q_proj
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value: 0.7071067812
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- filter: k_proj
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value: 0.7071067812
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- value: 1
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- sources:
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- layer_range: [20, 40]
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model: "jondurbin_bagel-34b-v0.2"
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parameters:
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scale:
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- filter: q_proj
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value: 0.7071067812
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- filter: k_proj
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value: 0.7071067812
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- value: 1
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- sources:
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- layer_range: [30, 50]
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model: "jondurbin_bagel-34b-v0.2"
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parameters:
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scale:
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- filter: q_proj
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value: 0.7071067812
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- filter: k_proj
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value: 0.7071067812
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- value: 1
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- sources:
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- layer_range: [40, 60]
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model: "jondurbin_bagel-34b-v0.2"
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parameters:
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scale:
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- filter: q_proj
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value: 0.7071067812
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- filter: k_proj
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value: 0.7071067812
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- value: 1
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name: 2xbagel_fp32
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---
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dtype: bfloat16
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merge_method: passthrough
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slices:
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- sources:
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- layer_range: [0, 100]
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model: 2xbagel_fp32
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name: bagel_new
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```
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config.json
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{
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"_name_or_path": "./2x_bagel-34b-v0.2_ultra_fp32",
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"architectures": [
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"LlamaForCausalLM"
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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": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 7168,
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"initializer_range": 0.02,
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"intermediate_size": 20480,
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"max_position_embeddings": 200000,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 56,
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"num_hidden_layers": 100,
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"num_key_value_heads": 8,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 5000000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.41.2",
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"use_cache": true,
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"vocab_size": 64000
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}
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mergekit_config.yml
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dtype: bfloat16
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merge_method: passthrough
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slices:
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- sources:
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- layer_range: [0, 100]
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model: ./2x_bagel-34b-v0.2_ultra_fp32
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name: bagel_new
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model.safetensors.index.json
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special_tokens_map.json
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tokenizer.json
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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size 1033105
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tokenizer_config.json
ADDED
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"chat_template": "{%- for idx in range(0, messages|length) -%}\n{%- if messages[idx]['role'] == 'user' -%}\n{%- if idx > 1 -%}\n{{- bos_token + '[INST] ' + messages[idx]['content'] + ' [/INST]' -}}\n{%- else -%}\n{{- messages[idx]['content'] + ' [/INST]' -}}\n{%- endif -%}\n{% elif messages[idx]['role'] == 'system' %}\n{{- '[INST] <<SYS>>\\n' + messages[idx]['content'] + '\\n<</SYS>>\\n\\n' -}}\n{%- elif messages[idx]['role'] == 'assistant' -%}\n{{- ' ' + messages[idx]['content'] + ' ' + eos_token -}}\n{% endif %}\n{% endfor %}"
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}
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