EthanLiu1991
commited on
Upload folder using huggingface_hub
Browse files- README.md +108 -0
- config.json +31 -0
- mergekit_moe_config.yml +79 -0
- model-00001-of-00013.safetensors +3 -0
- model-00002-of-00013.safetensors +3 -0
- model-00003-of-00013.safetensors +3 -0
- model-00004-of-00013.safetensors +3 -0
- model-00005-of-00013.safetensors +3 -0
- model-00006-of-00013.safetensors +3 -0
- model-00007-of-00013.safetensors +3 -0
- model-00008-of-00013.safetensors +3 -0
- model-00009-of-00013.safetensors +3 -0
- model-00010-of-00013.safetensors +3 -0
- model-00011-of-00013.safetensors +3 -0
- model-00012-of-00013.safetensors +3 -0
- model-00013-of-00013.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +29 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +49 -0
README.md
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---
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license: cc-by-nc-4.0
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tags:
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- merge
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- mergekit
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- lazymergekit
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- automerger
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---
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## 🧩 Configuration
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```yaml
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#slices:
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# - sources:
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# - model: liminerity/M7-7b
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# layer_range: [0, 32]
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# - model: AurelPx/Percival_01-7b-slerp
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# layer_range: [0, 32]
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#merge_method: slerp
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#base_model: liminerity/M7-7b
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#parameters:
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# t:
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# - filter: self_attn
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# value: [0.32115546068984224, 0.8724514048921832, 0.9416438704146307, 0.13454654769720242, 0.0020171582354998607]
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# - filter: mlp
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# value: [0.6788445393101578, 0.1275485951078168, 0.8654534523027976, 0.8654534523027976, 0.9979828417645001]
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# - value: 0.23694210240180313
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#dtype: bfloat16
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#random_seed: 0
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#slices:
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# - sources:
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# - model: psmathur/orca_mini_v3_13b
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# layer_range: [0, 40]
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# - model: garage-bAInd/Platypus2-7b
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# layer_range: [0, 32]
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#merge_method: slerp
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#base_model: psmathur/orca_mini_v3_13b
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#parameters:
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# t:
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# - filter: self_attn
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# value: [0.32115546068984224, 0.8724514048921832, 0.9416438704146307, 0.13454654769720242, 0.0020171582354998607]
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# - filter: mlp
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# value: [0.6788445393101578, 0.1275485951078168, 0.05835612958536929, 0.8654534523027976, 0.9979828417645001]
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# - value: 0.23694210240180313
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#dtype: float16
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#random_seed: 0
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#slices:
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# - sources:
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# - model: psmathur/orca_mini_v3_13b
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# parameters:
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# density: [1, 0.7, 0.1] # density gradient
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# weight: 1.0
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# - model: garage-bAInd/Platypus2-13B
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# parameters:
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# density: 0.5
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# weight: [0, 0.3, 0.7, 1] # weight gradient
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# - model: WizardLM/WizardMath-13B-V1.0
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# parameters:
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# density: 0.33
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# weight:
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# - filter: mlp
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# value: 0.5
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# - value: 0
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#merge_method: ties
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#base_model: TheBloke/Llama-2-13B-fp16
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#parameters:
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# normalize: true
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# int8_mask: true
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#dtype: float16
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#random_seed: 0
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base_model: mlabonne/AlphaMonarch-7B
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experts:
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- source_model: mlabonne/AlphaMonarch-7B
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positive_prompts:
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- "chat"
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- "assistant"
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- "tell me"
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- "explain"
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- "I want"
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- source_model: mlabonne/NeuralDaredevil-8B-abliterated
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positive_prompts:
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- "reason"
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- "math"
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- "mathematics"
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- "solve"
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- "count"
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```
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## 💻 Usage
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```python
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!pip install -qU transformers accelerate
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "EthanLiu1991/Merged_model_MoE"
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messages = [{"role": "user", "content": "What is a large language model?"}]
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tokenizer = AutoTokenizer.from_pretrained(model)
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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torch_dtype=torch.float16,
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device_map="auto",
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)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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config.json
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{
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"_name_or_path": "mlabonne/AlphaMonarch-7B",
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"architectures": [
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"MixtralForCausalLM"
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],
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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": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mixtral",
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"num_attention_heads": 32,
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"num_experts_per_tok": 2,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"num_local_experts": 2,
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"output_router_logits": false,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"router_aux_loss_coef": 0.001,
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"router_jitter_noise": 0.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.41.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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mergekit_moe_config.yml
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#slices:
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# - sources:
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4 |
+
# - model: liminerity/M7-7b
|
5 |
+
# layer_range: [0, 32]
|
6 |
+
# - model: AurelPx/Percival_01-7b-slerp
|
7 |
+
# layer_range: [0, 32]
|
8 |
+
#merge_method: slerp
|
9 |
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#base_model: liminerity/M7-7b
|
10 |
+
#parameters:
|
11 |
+
# t:
|
12 |
+
# - filter: self_attn
|
13 |
+
# value: [0.32115546068984224, 0.8724514048921832, 0.9416438704146307, 0.13454654769720242, 0.0020171582354998607]
|
14 |
+
# - filter: mlp
|
15 |
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# value: [0.6788445393101578, 0.1275485951078168, 0.8654534523027976, 0.8654534523027976, 0.9979828417645001]
|
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# - value: 0.23694210240180313
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#dtype: bfloat16
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#random_seed: 0
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19 |
+
|
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+
#slices:
|
21 |
+
# - sources:
|
22 |
+
# - model: psmathur/orca_mini_v3_13b
|
23 |
+
# layer_range: [0, 40]
|
24 |
+
# - model: garage-bAInd/Platypus2-7b
|
25 |
+
# layer_range: [0, 32]
|
26 |
+
#merge_method: slerp
|
27 |
+
#base_model: psmathur/orca_mini_v3_13b
|
28 |
+
#parameters:
|
29 |
+
# t:
|
30 |
+
# - filter: self_attn
|
31 |
+
# value: [0.32115546068984224, 0.8724514048921832, 0.9416438704146307, 0.13454654769720242, 0.0020171582354998607]
|
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+
# - filter: mlp
|
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+
# value: [0.6788445393101578, 0.1275485951078168, 0.05835612958536929, 0.8654534523027976, 0.9979828417645001]
|
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+
# - value: 0.23694210240180313
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+
#dtype: float16
|
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+
#random_seed: 0
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+
|
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#slices:
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# - sources:
|
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+
# - model: psmathur/orca_mini_v3_13b
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+
# parameters:
|
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+
# density: [1, 0.7, 0.1] # density gradient
|
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+
# weight: 1.0
|
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# - model: garage-bAInd/Platypus2-13B
|
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# parameters:
|
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# density: 0.5
|
47 |
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# weight: [0, 0.3, 0.7, 1] # weight gradient
|
48 |
+
# - model: WizardLM/WizardMath-13B-V1.0
|
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# parameters:
|
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# density: 0.33
|
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# weight:
|
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# - filter: mlp
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# value: 0.5
|
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# - value: 0
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#merge_method: ties
|
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#base_model: TheBloke/Llama-2-13B-fp16
|
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#parameters:
|
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# normalize: true
|
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# int8_mask: true
|
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+
#dtype: float16
|
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#random_seed: 0
|
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+
|
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base_model: mlabonne/AlphaMonarch-7B
|
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experts:
|
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- source_model: mlabonne/AlphaMonarch-7B
|
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+
positive_prompts:
|
67 |
+
- "chat"
|
68 |
+
- "assistant"
|
69 |
+
- "tell me"
|
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+
- "explain"
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- "I want"
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+
- source_model: mlabonne/NeuralDaredevil-8B-abliterated
|
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+
positive_prompts:
|
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- "reason"
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+
- "math"
|
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+
- "mathematics"
|
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+
- "solve"
|
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- "count"
|
79 |
+
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model-00001-of-00013.safetensors
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version https://git-lfs.github.com/spec/v1
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size 1933849864
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model-00002-of-00013.safetensors
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special_tokens_map.json
ADDED
@@ -0,0 +1,29 @@
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+
{
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2 |
+
"additional_special_tokens": [
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+
"<unk>",
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4 |
+
"<s>",
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5 |
+
"</s>"
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6 |
+
],
|
7 |
+
"bos_token": {
|
8 |
+
"content": "<s>",
|
9 |
+
"lstrip": false,
|
10 |
+
"normalized": false,
|
11 |
+
"rstrip": false,
|
12 |
+
"single_word": false
|
13 |
+
},
|
14 |
+
"eos_token": {
|
15 |
+
"content": "</s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false
|
20 |
+
},
|
21 |
+
"pad_token": "<s>",
|
22 |
+
"unk_token": {
|
23 |
+
"content": "<unk>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false
|
28 |
+
}
|
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+
}
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tokenizer.json
ADDED
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tokenizer.model
ADDED
@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
3 |
+
size 493443
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tokenizer_config.json
ADDED
@@ -0,0 +1,49 @@
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1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"additional_special_tokens": [
|
31 |
+
"<unk>",
|
32 |
+
"<s>",
|
33 |
+
"</s>"
|
34 |
+
],
|
35 |
+
"bos_token": "<s>",
|
36 |
+
"chat_template": "{% for message in messages %}{{bos_token + message['role'] + '\n' + message['content'] + eos_token + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ bos_token + 'assistant\n' }}{% endif %}",
|
37 |
+
"clean_up_tokenization_spaces": false,
|
38 |
+
"eos_token": "</s>",
|
39 |
+
"legacy": true,
|
40 |
+
"model_max_length": 8192,
|
41 |
+
"pad_token": "<s>",
|
42 |
+
"padding_side": "left",
|
43 |
+
"sp_model_kwargs": {},
|
44 |
+
"spaces_between_special_tokens": false,
|
45 |
+
"split_special_tokens": false,
|
46 |
+
"tokenizer_class": "LlamaTokenizer",
|
47 |
+
"unk_token": "<unk>",
|
48 |
+
"use_default_system_prompt": true
|
49 |
+
}
|