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yatinece
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yk_8x7b_model_v1

Text Generation
Transformers
Safetensors
mixtral
Mixture of Experts
frankenmoe
Merge
mergekit
lazymergekit
mlabonne/AlphaMonarch-7B
beowolx/CodeNinja-1.0-OpenChat-7B
SanjiWatsuki/Kunoichi-DPO-v2-7B
mlabonne/NeuralDaredevil-7B
HuggingFaceH4/zephyr-7b-beta
mistralai/Mistral-7B-Instruct-v0.2
teknium/OpenHermes-2.5-Mistral-7B
meta-math/MetaMath-Mistral-7B
conversational
text-generation-inference
Inference Endpoints
Model card Files Community
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  1. README.md +134 -0
  2. config.json +30 -0
  3. mergekit_moe_config.yml +66 -0
  4. model-00001-of-00048.safetensors +3 -0
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
4
+ - moe
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+ - frankenmoe
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+ - merge
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+ - mergekit
8
+ - lazymergekit
9
+ - mlabonne/AlphaMonarch-7B
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+ - beowolx/CodeNinja-1.0-OpenChat-7B
11
+ - SanjiWatsuki/Kunoichi-DPO-v2-7B
12
+ - mlabonne/NeuralDaredevil-7B
13
+ - HuggingFaceH4/zephyr-7b-beta
14
+ - mistralai/Mistral-7B-Instruct-v0.2
15
+ - teknium/OpenHermes-2.5-Mistral-7B
16
+ - meta-math/MetaMath-Mistral-7B
17
+ base_model:
18
+ - mlabonne/AlphaMonarch-7B
19
+ - beowolx/CodeNinja-1.0-OpenChat-7B
20
+ - SanjiWatsuki/Kunoichi-DPO-v2-7B
21
+ - mlabonne/NeuralDaredevil-7B
22
+ - HuggingFaceH4/zephyr-7b-beta
23
+ - mistralai/Mistral-7B-Instruct-v0.2
24
+ - teknium/OpenHermes-2.5-Mistral-7B
25
+ - meta-math/MetaMath-Mistral-7B
26
+ ---
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+
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+ # yk_8x7b_model
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+
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+ yk_8x7b_model is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
31
+ * [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B)
32
+ * [beowolx/CodeNinja-1.0-OpenChat-7B](https://huggingface.co/beowolx/CodeNinja-1.0-OpenChat-7B)
33
+ * [SanjiWatsuki/Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B)
34
+ * [mlabonne/NeuralDaredevil-7B](https://huggingface.co/mlabonne/NeuralDaredevil-7B)
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+ * [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta)
36
+ * [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
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+ * [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B)
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+ * [meta-math/MetaMath-Mistral-7B](https://huggingface.co/meta-math/MetaMath-Mistral-7B)
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+
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+ ## 🧩 Configuration
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+
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+ ```yaml
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+ base_model: mistralai/Mistral-7B-Instruct-v0.2
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+ dtype: float16
45
+ gate_mode: hidden
46
+ experts:
47
+ - source_model: mlabonne/AlphaMonarch-7B
48
+ positive_prompts:
49
+ - "chat"
50
+ - "assistant"
51
+ - "tell me"
52
+ - "explain"
53
+ - "I want"
54
+ - "help"
55
+ - source_model: beowolx/CodeNinja-1.0-OpenChat-7B
56
+ positive_prompts:
57
+ - "code"
58
+ - "python"
59
+ - "javascript"
60
+ - "programming"
61
+ - "algorithm"
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+ - "coding"
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+ - source_model: SanjiWatsuki/Kunoichi-DPO-v2-7B
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+ positive_prompts:
65
+ - "storywriting"
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+ - "write"
67
+ - "scene"
68
+ - "story"
69
+ - "character"
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+ - "creative"
71
+ - source_model: mlabonne/NeuralDaredevil-7B
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+ positive_prompts:
73
+ - "reason"
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+ - "math"
75
+ - "mathematics"
76
+ - "solve"
77
+ - "count"
78
+ - "logic"
79
+ - source_model: HuggingFaceH4/zephyr-7b-beta
80
+ positive_prompts:
81
+ - "You are an helpful general-purpose assistant."
82
+ - "assist"
83
+ - "helpful"
84
+ - "support"
85
+ - "guide"
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+ - source_model: mistralai/Mistral-7B-Instruct-v0.2
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+ positive_prompts:
88
+ - "You are helpful assistant."
89
+ - "aid"
90
+ - "assist"
91
+ - "guide"
92
+ - "support"
93
+ - source_model: teknium/OpenHermes-2.5-Mistral-7B
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+ positive_prompts:
95
+ - "You are helpful a coding assistant."
96
+ - "code"
97
+ - "programming"
98
+ - "debug"
99
+ - "scripting"
100
+ - "coding"
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+ - source_model: meta-math/MetaMath-Mistral-7B
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+ positive_prompts:
103
+ - "You are an assistant good at math."
104
+ - "mathematics"
105
+ - "calculation"
106
+ - "problem solving"
107
+ - "arithmetics"
108
+ - "math"
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+
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+ ```
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+
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+ ## 💻 Usage
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+
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+ ```python
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+ !pip install -qU transformers bitsandbytes accelerate
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+
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+ from transformers import AutoTokenizer
118
+ import transformers
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+ import torch
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+
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+ model = "yatinece/yk_8x7b_model"
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+
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+ tokenizer = AutoTokenizer.from_pretrained(model)
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+ pipeline = transformers.pipeline(
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+ "text-generation",
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+ model=model,
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+ model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
128
+ )
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+
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+ messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
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+ prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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+ outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
133
+ print(outputs[0]["generated_text"])
134
+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
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+ "architectures": [
4
+ "MixtralForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 1,
8
+ "eos_token_id": 2,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 4096,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 14336,
13
+ "max_position_embeddings": 32768,
14
+ "model_type": "mixtral",
15
+ "num_attention_heads": 32,
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+ "num_experts_per_tok": 2,
17
+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
19
+ "num_local_experts": 8,
20
+ "output_router_logits": false,
21
+ "rms_norm_eps": 1e-05,
22
+ "rope_theta": 1000000.0,
23
+ "router_aux_loss_coef": 0.001,
24
+ "sliding_window": null,
25
+ "tie_word_embeddings": false,
26
+ "torch_dtype": "float16",
27
+ "transformers_version": "4.39.3",
28
+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
mergekit_moe_config.yml ADDED
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+ base_model: mistralai/Mistral-7B-Instruct-v0.2
2
+ dtype: float16
3
+ gate_mode: hidden
4
+ experts:
5
+ - source_model: mlabonne/AlphaMonarch-7B
6
+ positive_prompts:
7
+ - "chat"
8
+ - "assistant"
9
+ - "tell me"
10
+ - "explain"
11
+ - "I want"
12
+ - "help"
13
+ - source_model: beowolx/CodeNinja-1.0-OpenChat-7B
14
+ positive_prompts:
15
+ - "code"
16
+ - "python"
17
+ - "javascript"
18
+ - "programming"
19
+ - "algorithm"
20
+ - "coding"
21
+ - source_model: SanjiWatsuki/Kunoichi-DPO-v2-7B
22
+ positive_prompts:
23
+ - "storywriting"
24
+ - "write"
25
+ - "scene"
26
+ - "story"
27
+ - "character"
28
+ - "creative"
29
+ - source_model: mlabonne/NeuralDaredevil-7B
30
+ positive_prompts:
31
+ - "reason"
32
+ - "math"
33
+ - "mathematics"
34
+ - "solve"
35
+ - "count"
36
+ - "logic"
37
+ - source_model: HuggingFaceH4/zephyr-7b-beta
38
+ positive_prompts:
39
+ - "You are an helpful general-purpose assistant."
40
+ - "assist"
41
+ - "helpful"
42
+ - "support"
43
+ - "guide"
44
+ - source_model: mistralai/Mistral-7B-Instruct-v0.2
45
+ positive_prompts:
46
+ - "You are helpful assistant."
47
+ - "aid"
48
+ - "assist"
49
+ - "guide"
50
+ - "support"
51
+ - source_model: teknium/OpenHermes-2.5-Mistral-7B
52
+ positive_prompts:
53
+ - "You are helpful a coding assistant."
54
+ - "code"
55
+ - "programming"
56
+ - "debug"
57
+ - "scripting"
58
+ - "coding"
59
+ - source_model: meta-math/MetaMath-Mistral-7B
60
+ positive_prompts:
61
+ - "You are an assistant good at math."
62
+ - "mathematics"
63
+ - "calculation"
64
+ - "problem solving"
65
+ - "arithmetics"
66
+ - "math"
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