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Refact-1_6B-fim-GGUF

Text Generation
Transformers
GGUF
English
code
llama-cpp
matrixportal
Eval Results
Model card Files
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+ ---
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+ base_model: smallcloudai/Refact-1_6B-fim
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+ datasets:
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+ - bigcode/the-stack-dedup
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+ - rombodawg/2XUNCENSORED_MegaCodeTraining188k
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+ - bigcode/commitpackft
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+ language:
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+ - en
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+ library_name: transformers
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+ license: bigscience-openrail-m
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+ metrics:
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+ - code_eval
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+ pipeline_tag: text-generation
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+ tags:
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+ - code
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+ - llama-cpp
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+ - matrixportal
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+ inference: true
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+ widget:
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+ - text: 'def print_hello_world():'
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+ example_title: Hello world
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+ group: Python
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+ pretrain-datasets:
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+ - books
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+ - arxiv
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+ - c4
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+ - falcon-refinedweb
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+ - wiki
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+ - github-issues
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+ - stack_markdown
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+ - self-made dataset of permissive github code
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+ model-index:
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+ - name: Refact-1.6B
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+ results:
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: HumanEval
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+ type: openai_humaneval
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+ metrics:
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+ - type: pass@1
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+ value: 32.0
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+ name: pass@1 (T=0.01)
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+ verified: false
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+ - type: pass@1
46
+ value: 31.5
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+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@10
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+ value: 53.0
51
+ name: pass@10 (T=0.8)
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+ verified: false
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+ - type: pass@100
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+ value: 76.9
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+ name: pass@100 (T=0.8)
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+ verified: false
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: HumanEvalSynthesize Python
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+ type: bigcode/humanevalpack
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+ metrics:
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+ - type: pass@1
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+ value: 35.8
65
+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
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+ value: 31.6
69
+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
72
+ value: 29.1
73
+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
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+ value: -1
77
+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
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+ value: 26.3
81
+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
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+ value: -1
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+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
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+ value: -1
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+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
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+ value: 18.38
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+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
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+ value: 12.28
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+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
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+ value: 15.12
101
+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
104
+ value: -1
105
+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
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+ value: 13.17
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+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
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+ value: 2.8
113
+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
116
+ value: -1
117
+ name: pass@1 (T=0.2)
118
+ verified: false
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+ - type: pass@1
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+ value: 26.92
121
+ name: pass@1 (T=0.2)
122
+ verified: false
123
+ - type: pass@1
124
+ value: 26.85
125
+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
128
+ value: 30.76
129
+ name: pass@1 (T=0.2)
130
+ verified: false
131
+ - type: pass@1
132
+ value: -1
133
+ name: pass@1 (T=0.2)
134
+ verified: false
135
+ - type: pass@1
136
+ value: 25.94
137
+ name: pass@1 (T=0.2)
138
+ verified: false
139
+ - type: pass@1
140
+ value: 8.44
141
+ name: pass@1 (T=0.2)
142
+ verified: false
143
+ - type: pass@1
144
+ value: -1
145
+ name: pass@1 (T=0.2)
146
+ verified: false
147
+ - type: pass@1
148
+ value: 26.46
149
+ name: pass@1 (T=0.2)
150
+ verified: false
151
+ - type: pass@1
152
+ value: 17.86
153
+ name: pass@1 (T=0.2)
154
+ verified: false
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+ - type: pass@1
156
+ value: 20.94
157
+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
160
+ value: -1
161
+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
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+ value: 18.78
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+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
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+ value: -1
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+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
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+ value: -1
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+ name: pass@1 (T=0.2)
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+ verified: false
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: MBPP
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+ type: mbpp
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+ metrics:
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+ - type: pass@1
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+ value: 31.15
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+ name: pass@1 (T=0.01)
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+ verified: false
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: DS-1000 (Overall Completion)
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+ type: ds1000
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+ metrics:
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+ - type: pass@1
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+ value: 10.1
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+ name: pass@1 (T=0.2)
194
+ verified: false
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+ - task:
196
+ type: text-generation
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+ dataset:
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+ name: MultiPL-HumanEval (C++)
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+ type: nuprl/MultiPL-E
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+ metrics:
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+ - type: pass@1
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+ value: 21.61
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+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
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+ value: 13.91
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+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
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+ value: 9.5
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+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
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+ value: 53.57
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+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
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+ value: 21.58
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+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
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+ value: 13.75
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+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
226
+ value: 26.88
227
+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
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+ value: 15.26
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+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
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+ value: 23.04
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+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
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+ value: 12.1
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+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
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+ value: 29.6
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+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
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+ value: 13.77
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+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
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+ value: 12.68
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+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
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+ value: 4.29
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+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
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+ value: 19.54
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+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
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+ value: 18.33
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+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
266
+ value: 5.7
267
+ name: pass@1 (T=0.2)
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+ verified: false
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+ - type: pass@1
270
+ value: 17.68
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+ name: pass@1 (T=0.2)
272
+ verified: false
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+ - type: pass@1
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+ value: 25
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+ name: pass@1 (T=0.2)
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+ verified: false
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+ ---
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+
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+ # ysn-rfd/Refact-1_6B-fim-GGUF
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+ This model was converted to GGUF format from [`smallcloudai/Refact-1_6B-fim`](https://huggingface.co/smallcloudai/Refact-1_6B-fim) using llama.cpp via the ggml.ai's [all-gguf-same-where](https://huggingface.co/spaces/matrixportal/all-gguf-same-where) space.
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+ Refer to the [original model card](https://huggingface.co/smallcloudai/Refact-1_6B-fim) for more details on the model.
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+
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+ ## ✅ Quantized Models Download List
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+
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+ ### 🔍 Recommended Quantizations
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+ - **✨ General CPU Use:** [`Q4_K_M`](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q4_k_m.gguf) (Best balance of speed/quality)
287
+ - **📱 ARM Devices:** [`Q4_0`](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q4_0.gguf) (Optimized for ARM CPUs)
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+ - **🏆 Maximum Quality:** [`Q8_0`](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q8_0.gguf) (Near-original quality)
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+
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+ ### 📦 Full Quantization Options
291
+ | 🚀 Download | 🔢 Type | 📝 Notes |
292
+ |:---------|:-----|:------|
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+ | [Download](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q2_k.gguf) | ![Q2_K](https://img.shields.io/badge/Q2_K-1A73E8) | Basic quantization |
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+ | [Download](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q3_k_s.gguf) | ![Q3_K_S](https://img.shields.io/badge/Q3_K_S-34A853) | Small size |
295
+ | [Download](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q3_k_m.gguf) | ![Q3_K_M](https://img.shields.io/badge/Q3_K_M-FBBC05) | Balanced quality |
296
+ | [Download](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q3_k_l.gguf) | ![Q3_K_L](https://img.shields.io/badge/Q3_K_L-4285F4) | Better quality |
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+ | [Download](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q4_0.gguf) | ![Q4_0](https://img.shields.io/badge/Q4_0-EA4335) | Fast on ARM |
298
+ | [Download](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q4_k_s.gguf) | ![Q4_K_S](https://img.shields.io/badge/Q4_K_S-673AB7) | Fast, recommended |
299
+ | [Download](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q4_k_m.gguf) | ![Q4_K_M](https://img.shields.io/badge/Q4_K_M-673AB7) ⭐ | Best balance |
300
+ | [Download](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q5_0.gguf) | ![Q5_0](https://img.shields.io/badge/Q5_0-FF6D01) | Good quality |
301
+ | [Download](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q5_k_s.gguf) | ![Q5_K_S](https://img.shields.io/badge/Q5_K_S-0F9D58) | Balanced |
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+ | [Download](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q5_k_m.gguf) | ![Q5_K_M](https://img.shields.io/badge/Q5_K_M-0F9D58) | High quality |
303
+ | [Download](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q6_k.gguf) | ![Q6_K](https://img.shields.io/badge/Q6_K-4285F4) 🏆 | Very good quality |
304
+ | [Download](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q8_0.gguf) | ![Q8_0](https://img.shields.io/badge/Q8_0-EA4335) ⚡ | Fast, best quality |
305
+ | [Download](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-f16.gguf) | ![F16](https://img.shields.io/badge/F16-000000) | Maximum accuracy |
306
+
307
+ 💡 **Tip:** Use `F16` for maximum precision when quality is critical
308
+
309
+
310
+ ---
311
+ # 🚀 Applications and Tools for Locally Quantized LLMs
312
+ ## 🖥️ Desktop Applications
313
+
314
+ | Application | Description | Download Link |
315
+ |-----------------|----------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------|
316
+ | **Llama.cpp** | A fast and efficient inference engine for GGUF models. | [GitHub Repository](https://github.com/ggml-org/llama.cpp) |
317
+ | **Ollama** | A streamlined solution for running LLMs locally. | [Website](https://ollama.com/) |
318
+ | **AnythingLLM** | An AI-powered knowledge management tool. | [GitHub Repository](https://github.com/Mintplex-Labs/anything-llm) |
319
+ | **Open WebUI** | A user-friendly web interface for running local LLMs. | [GitHub Repository](https://github.com/open-webui/open-webui) |
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+ | **GPT4All** | A user-friendly desktop application supporting various LLMs, compatible with GGUF models. | [GitHub Repository](https://github.com/nomic-ai/gpt4all) |
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+ | **LM Studio** | A desktop application designed to run and manage local LLMs, supporting GGUF format. | [Website](https://lmstudio.ai/) |
322
+ | **GPT4All Chat**| A chat application compatible with GGUF models for local, offline interactions. | [GitHub Repository](https://github.com/nomic-ai/gpt4all) |
323
+
324
+ ---
325
+
326
+ ## 📱 Mobile Applications
327
+
328
+ | Application | Description | Download Link |
329
+ |-------------------|----------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------|
330
+ | **ChatterUI** | A simple and lightweight LLM app for mobile devices. | [GitHub Repository](https://github.com/Vali-98/ChatterUI) |
331
+ | **Maid** | Mobile Artificial Intelligence Distribution for running AI models on mobile devices. | [GitHub Repository](https://github.com/Mobile-Artificial-Intelligence/maid) |
332
+ | **PocketPal AI** | A mobile AI assistant powered by local models. | [GitHub Repository](https://github.com/a-ghorbani/pocketpal-ai) |
333
+ | **Layla** | A flexible platform for running various AI models on mobile devices. | [Website](https://www.layla-network.ai/) |
334
+
335
+ ---
336
+
337
+ ## 🎨 Image Generation Applications
338
+
339
+ | Application | Description | Download Link |
340
+ |-------------------------------------|----------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------|
341
+ | **Stable Diffusion** | An open-source AI model for generating images from text. | [GitHub Repository](https://github.com/CompVis/stable-diffusion) |
342
+ | **Stable Diffusion WebUI** | A web application providing access to Stable Diffusion models via a browser interface. | [GitHub Repository](https://github.com/AUTOMATIC1111/stable-diffusion-webui) |
343
+ | **Local Dream** | Android Stable Diffusion with Snapdragon NPU acceleration. Also supports CPU inference. | [GitHub Repository](https://github.com/xororz/local-dream) |
344
+ | **Stable-Diffusion-Android (SDAI)** | An open-source AI art application for Android devices, enabling digital art creation. | [GitHub Repository](https://github.com/ShiftHackZ/Stable-Diffusion-Android) |
345
+
346
+ ---
347
+