Views
No views yet
| Name | Quant method | Size |
|---|---|---|
| MoNeuTrix-MoE-4x7B.Q2_K.gguf | Q2_K | 8.24GB |
| MoNeuTrix-MoE-4x7B.IQ3_XS.gguf | IQ3_XS | 9.21GB |
| MoNeuTrix-MoE-4x7B.IQ3_S.gguf | IQ3_S | 9.73GB |
| MoNeuTrix-MoE-4x7B.Q3_K_S.gguf | Q3_K_S | 9.72GB |
| MoNeuTrix-MoE-4x7B.IQ3_M.gguf | IQ3_M | 9.92GB |
| MoNeuTrix-MoE-4x7B.Q3_K.gguf | Q3_K | 10.79GB |
| MoNeuTrix-MoE-4x7B.Q3_K_M.gguf | Q3_K_M | 10.79GB |
| MoNeuTrix-MoE-4x7B.Q3_K_L.gguf | Q3_K_L | 11.68GB |
| MoNeuTrix-MoE-4x7B.IQ4_XS.gguf | IQ4_XS | 12.15GB |
| MoNeuTrix-MoE-4x7B.Q4_0.gguf | Q4_0 | 12.69GB |
| MoNeuTrix-MoE-4x7B.IQ4_NL.gguf | IQ4_NL | 12.81GB |
| MoNeuTrix-MoE-4x7B.Q4_K_S.gguf | Q4_K_S | 12.8GB |
| MoNeuTrix-MoE-4x7B.Q4_K.gguf | Q4_K | 13.61GB |
| MoNeuTrix-MoE-4x7B.Q4_K_M.gguf | Q4_K_M | 13.61GB |
| MoNeuTrix-MoE-4x7B.Q4_1.gguf | Q4_1 | 14.09GB |
| MoNeuTrix-MoE-4x7B.Q5_0.gguf | Q5_0 | 15.48GB |
| MoNeuTrix-MoE-4x7B.Q5_K_S.gguf | Q5_K_S | 15.48GB |
| MoNeuTrix-MoE-4x7B.Q5_K.gguf | Q5_K | 15.96GB |
| MoNeuTrix-MoE-4x7B.Q5_K_M.gguf | Q5_K_M | 15.96GB |
| MoNeuTrix-MoE-4x7B.Q5_1.gguf | Q5_1 | 16.88GB |
| MoNeuTrix-MoE-4x7B.Q6_K.gguf | Q6_K | 18.46GB |
| MoNeuTrix-MoE-4x7B.Q8_0.gguf | Q8_0 | 23.9GB |
1 base_model: "CultriX/MonaTrix-v4"
2 dtype: bfloat16
3 gate:
4 type: "learned"
5 temperature: 0.1
6 scaling_factor: 10
7 experts:
8 - source_model: "CultriX/MonaTrix-v4" # Historical Analysis, Geopolitics, and Economic Evaluation
9 positive_prompts:
10 - "Historical Analysis"
11 - "Geopolitical Evaluation"
12 - "Economic Insights"
13 - "Policy Analysis"
14 - "Socio-Economic Impacts"
15 - "Geopolitical Analysis"
16 - "Cultural Commentary"
17 - "Analyze geopolitical"
18 - "Analyze historic"
19 - "Analyze historical"
20 - "Assess the political dynamics of the Cold War and its global impact."
21 - "Evaluate the historical significance of the Silk Road in ancient trade."
22 negative_prompts:
23 - "Technical Writing"
24 - "Mathematical Problem Solving"
25 - "Software Development"
26 - "Artistic Creation"
27 - "Machine Learning Development"
28 - "Storywriting"
29 - "Character Development"
30 - "Roleplaying"
31 - "Narrative Creation"
32
33 - source_model: "mlabonne/OmniTruthyBeagle-7B-v0" # Multilingual Communication and Cultural Insights
34 positive_prompts:
35 - "Multilingual Communication"
36 - "Cultural Insights"
37 - "Translation and Interpretation"
38 - "Cultural Norms Exploration"
39 - "Intercultural Communication Practices"
40 - "Describe cultural significance"
41 - "Narrate cultural"
42 - "Discuss cultural impact"
43 negative_prompts:
44 - "Scientific Analysis"
45 - "Creative Writing"
46 - "Technical Documentation"
47 - "Economic Modeling"
48 - "Historical Documentation"
49 - "Programming"
50 - "Algorithm Development"
51
52 - source_model: "CultriX/MoNeuTrix-7B-v1" # Creative Problem Solving and Innovation
53 positive_prompts:
54 - "Innovation and Design"
55 - "Problem Solving"
56 - "Creative Thinking"
57 - "Strategic Planning"
58 - "Conceptual Design"
59 - "Innovation and Design"
60 - "Problem Solving"
61 - "Compose narrative content or poetry."
62 - "Create complex puzzles and games."
63 - "Devise strategy"
64 negative_prompts:
65 - "Historical Analysis"
66 - "Linguistic Translation"
67 - "Economic Forecasting"
68 - "Geopolitical Analysis"
69 - "Cultural Commentary"
70 - "Historical Documentation"
71 - "Scientific Explanation"
72 - "Data Analysis Techniques"
73
74 - source_model: "paulml/OmniBeagleSquaredMBX-v3-7B" # Scientific and Technical Expertise
75 positive_prompts:
76 - "Scientific Explanation"
77 - "Technical Analysis"
78 - "Experimental Design"
79 - "Data Analysis Techniques"
80 - "Scientific Innovation"
81 - "Mathematical Problem Solving"
82 - "Algorithm Development"
83 - "Programming"
84 - "Analyze data"
85 - "Analyze statistical data on climate change trends."
86 - "Conduct basic data analysis or statistical evaluations."
87 negative_prompts:
88 - "Cultural Analysis"
89 - "Creative Arts"
90 - "Linguistic Challenges"
91 - "Political Debating"
92 - "Marketing Strategies"
93 - "Storywriting"
94 - "Character Development"
95 - "Roleplaying"
96 - "Narrative Creation"1!pip install -qU transformers bitsandbytes accelerate
2
3from transformers import AutoTokenizer
4import transformers
5import torch
6
7model = "CultriX/MoNeuTrix-MoE-4x7B"
8
9tokenizer = AutoTokenizer.from_pretrained(model)
10pipeline = transformers.pipeline(
11 "text-generation",
12 model=model,
13 model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
14)
15
16messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
17prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
18outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
19print(outputs[0]["generated_text"])