Transformers
GGUF
Eval Results
Inference Endpoints
conversational
aashish1904 commited on
Commit
275ea4f
1 Parent(s): cf22ef3

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +138 -0
README.md ADDED
@@ -0,0 +1,138 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ ---
3
+
4
+ license: apache-2.0
5
+ library_name: transformers
6
+ base_model:
7
+ - nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B-v2
8
+ datasets:
9
+ - flammenai/Date-DPO-NoAsterisks
10
+ - jondurbin/truthy-dpo-v0.1
11
+ model-index:
12
+ - name: Flammades-Mistral-Nemo-12B
13
+ results:
14
+ - task:
15
+ type: text-generation
16
+ name: Text Generation
17
+ dataset:
18
+ name: IFEval (0-Shot)
19
+ type: HuggingFaceH4/ifeval
20
+ args:
21
+ num_few_shot: 0
22
+ metrics:
23
+ - type: inst_level_strict_acc and prompt_level_strict_acc
24
+ value: 38.42
25
+ name: strict accuracy
26
+ source:
27
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Flammades-Mistral-Nemo-12B
28
+ name: Open LLM Leaderboard
29
+ - task:
30
+ type: text-generation
31
+ name: Text Generation
32
+ dataset:
33
+ name: BBH (3-Shot)
34
+ type: BBH
35
+ args:
36
+ num_few_shot: 3
37
+ metrics:
38
+ - type: acc_norm
39
+ value: 32.39
40
+ name: normalized accuracy
41
+ source:
42
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Flammades-Mistral-Nemo-12B
43
+ name: Open LLM Leaderboard
44
+ - task:
45
+ type: text-generation
46
+ name: Text Generation
47
+ dataset:
48
+ name: MATH Lvl 5 (4-Shot)
49
+ type: hendrycks/competition_math
50
+ args:
51
+ num_few_shot: 4
52
+ metrics:
53
+ - type: exact_match
54
+ value: 6.19
55
+ name: exact match
56
+ source:
57
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Flammades-Mistral-Nemo-12B
58
+ name: Open LLM Leaderboard
59
+ - task:
60
+ type: text-generation
61
+ name: Text Generation
62
+ dataset:
63
+ name: GPQA (0-shot)
64
+ type: Idavidrein/gpqa
65
+ args:
66
+ num_few_shot: 0
67
+ metrics:
68
+ - type: acc_norm
69
+ value: 7.16
70
+ name: acc_norm
71
+ source:
72
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Flammades-Mistral-Nemo-12B
73
+ name: Open LLM Leaderboard
74
+ - task:
75
+ type: text-generation
76
+ name: Text Generation
77
+ dataset:
78
+ name: MuSR (0-shot)
79
+ type: TAUR-Lab/MuSR
80
+ args:
81
+ num_few_shot: 0
82
+ metrics:
83
+ - type: acc_norm
84
+ value: 20.31
85
+ name: acc_norm
86
+ source:
87
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Flammades-Mistral-Nemo-12B
88
+ name: Open LLM Leaderboard
89
+ - task:
90
+ type: text-generation
91
+ name: Text Generation
92
+ dataset:
93
+ name: MMLU-PRO (5-shot)
94
+ type: TIGER-Lab/MMLU-Pro
95
+ config: main
96
+ split: test
97
+ args:
98
+ num_few_shot: 5
99
+ metrics:
100
+ - type: acc
101
+ value: 29.57
102
+ name: accuracy
103
+ source:
104
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Flammades-Mistral-Nemo-12B
105
+ name: Open LLM Leaderboard
106
+
107
+ ---
108
+
109
+ [![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)
110
+
111
+
112
+ # QuantFactory/Flammades-Mistral-Nemo-12B-GGUF
113
+ This is quantized version of [flammenai/Flammades-Mistral-Nemo-12B](https://huggingface.co/flammenai/Flammades-Mistral-Nemo-12B) created using llama.cpp
114
+
115
+ # Original Model Card
116
+
117
+
118
+ # Flammades-Mistral-Nemo-12B
119
+
120
+ [nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B-v2](https://huggingface.co/nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B-v2) finetuned on [flammenai/Date-DPO-NoAsterisks](https://huggingface.co/datasets/flammenai/Date-DPO-NoAsterisks) and [jondurbin/truthy-dpo-v0.1](https://huggingface.co/datasets/jondurbin/truthy-dpo-v0.1).
121
+
122
+ ### Method
123
+
124
+ [ORPO tuned](https://mlabonne.github.io/blog/posts/2024-04-19_Fine_tune_Llama_3_with_ORPO.html) with 2x RTX 3090 for 3 epochs.
125
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
126
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_nbeerbower__Flammades-Mistral-Nemo-12B)
127
+
128
+ | Metric |Value|
129
+ |-------------------|----:|
130
+ |Avg. |22.34|
131
+ |IFEval (0-Shot) |38.42|
132
+ |BBH (3-Shot) |32.39|
133
+ |MATH Lvl 5 (4-Shot)| 6.19|
134
+ |GPQA (0-shot) | 7.16|
135
+ |MuSR (0-shot) |20.31|
136
+ |MMLU-PRO (5-shot) |29.57|
137
+
138
+