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#1
by
wolfram
- opened
- README.md +42 -0
- config.json +28 -0
- config.json~ +29 -0
- mergekit_config.yml +12 -0
- model-00001-of-00021.safetensors +3 -0
- model-00002-of-00021.safetensors +3 -0
- model-00003-of-00021.safetensors +3 -0
- model-00004-of-00021.safetensors +3 -0
- model-00005-of-00021.safetensors +3 -0
- model-00006-of-00021.safetensors +3 -0
- model-00007-of-00021.safetensors +3 -0
- model-00008-of-00021.safetensors +3 -0
- model-00009-of-00021.safetensors +3 -0
- model-00010-of-00021.safetensors +3 -0
- model-00011-of-00021.safetensors +3 -0
- model-00012-of-00021.safetensors +3 -0
- model-00013-of-00021.safetensors +3 -0
- model-00014-of-00021.safetensors +3 -0
- model-00015-of-00021.safetensors +3 -0
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- model-00020-of-00021.safetensors +3 -0
- model-00021-of-00021.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +42 -0
README.md
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---
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base_model:
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- 152334H/miqu-1-70b-sf
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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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# wolfram_miqu-1-103b
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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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* [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)
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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: float16
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merge_method: passthrough
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slices:
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- sources:
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- layer_range: [0, 40]
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model: 152334H/miqu-1-70b-sf
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- sources:
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- layer_range: [20, 60]
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model: 152334H/miqu-1-70b-sf
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- sources:
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- layer_range: [40, 80]
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model: 152334H/miqu-1-70b-sf
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```
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config.json
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{
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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": 8192,
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"initializer_range": 0.02,
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"intermediate_size": 28672,
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"max_position_embeddings": 32768,
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"model_type": "llama",
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"num_attention_heads": 64,
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"num_hidden_layers": 120,
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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": 1000000,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.37.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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config.json~
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{
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"_name_or_path": "152334H/miqu-1-70b-sf",
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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": 8192,
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"initializer_range": 0.02,
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"intermediate_size": 28672,
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"max_position_embeddings": 32764,
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"model_type": "llama",
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"num_attention_heads": 64,
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"num_hidden_layers": 120,
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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": 1000000,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.37.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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mergekit_config.yml
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dtype: float16
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merge_method: passthrough
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slices:
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- sources:
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- layer_range: [0, 40]
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model: 152334H/miqu-1-70b-sf
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- sources:
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- layer_range: [20, 60]
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model: 152334H/miqu-1-70b-sf
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- sources:
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- layer_range: [40, 80]
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model: 152334H/miqu-1-70b-sf
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model-00001-of-00021.safetensors
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{"metadata": {"mergekit_version": "0.0.4.1"}, "weight_map": {"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00021.safetensors", "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00021.safetensors", "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00021.safetensors", "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00021.safetensors", "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00021.safetensors", "model.layers.1.mlp.down_proj.weight": "model-00001-of-00021.safetensors", "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00021.safetensors", "model.layers.1.mlp.up_proj.weight": "model-00001-of-00021.safetensors", "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00021.safetensors", "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00021.safetensors", "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00021.safetensors", "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00021.safetensors", 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tokenizer.json
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tokenizer.model
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<s>",
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"chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": false,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<unk>",
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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