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README.md
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1 |
+
---
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2 |
+
language:
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3 |
+
- en
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4 |
+
license: mit
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5 |
+
library_name: transformers
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6 |
+
tags:
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7 |
+
- axolotl
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8 |
+
- finetune
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9 |
+
- dpo
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10 |
+
- microsoft
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11 |
+
- phi
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12 |
+
- pytorch
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13 |
+
- phi-3
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14 |
+
- nlp
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15 |
+
- code
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16 |
+
- chatml
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17 |
+
- llama-cpp
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18 |
+
- gguf-my-repo
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19 |
+
base_model: MaziyarPanahi/calme-2.1-phi3-4b
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+
pipeline_tag: text-generation
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+
inference: false
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+
model_creator: MaziyarPanahi
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+
quantized_by: MaziyarPanahi
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24 |
+
model-index:
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25 |
+
- name: calme-2.1-phi3-4b
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26 |
+
results:
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27 |
+
- task:
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28 |
+
type: text-generation
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29 |
+
name: Text Generation
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30 |
+
dataset:
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31 |
+
name: AI2 Reasoning Challenge (25-Shot)
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32 |
+
type: ai2_arc
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33 |
+
config: ARC-Challenge
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34 |
+
split: test
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35 |
+
args:
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36 |
+
num_few_shot: 25
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37 |
+
metrics:
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38 |
+
- type: acc_norm
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39 |
+
value: 62.63
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40 |
+
name: normalized accuracy
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41 |
+
source:
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42 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/calme-2.1-phi3-4b
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43 |
+
name: Open LLM Leaderboard
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44 |
+
- task:
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45 |
+
type: text-generation
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46 |
+
name: Text Generation
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47 |
+
dataset:
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48 |
+
name: HellaSwag (10-Shot)
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49 |
+
type: hellaswag
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50 |
+
split: validation
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51 |
+
args:
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52 |
+
num_few_shot: 10
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53 |
+
metrics:
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54 |
+
- type: acc_norm
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55 |
+
value: 81.07
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56 |
+
name: normalized accuracy
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57 |
+
source:
|
58 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/calme-2.1-phi3-4b
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59 |
+
name: Open LLM Leaderboard
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60 |
+
- task:
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61 |
+
type: text-generation
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62 |
+
name: Text Generation
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63 |
+
dataset:
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64 |
+
name: MMLU (5-Shot)
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65 |
+
type: cais/mmlu
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66 |
+
config: all
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67 |
+
split: test
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68 |
+
args:
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69 |
+
num_few_shot: 5
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70 |
+
metrics:
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71 |
+
- type: acc
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72 |
+
value: 68.96
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73 |
+
name: accuracy
|
74 |
+
source:
|
75 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/calme-2.1-phi3-4b
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76 |
+
name: Open LLM Leaderboard
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77 |
+
- task:
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78 |
+
type: text-generation
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79 |
+
name: Text Generation
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80 |
+
dataset:
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81 |
+
name: TruthfulQA (0-shot)
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82 |
+
type: truthful_qa
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83 |
+
config: multiple_choice
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84 |
+
split: validation
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85 |
+
args:
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86 |
+
num_few_shot: 0
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87 |
+
metrics:
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88 |
+
- type: mc2
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89 |
+
value: 61.48
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90 |
+
source:
|
91 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/calme-2.1-phi3-4b
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92 |
+
name: Open LLM Leaderboard
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93 |
+
- task:
|
94 |
+
type: text-generation
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95 |
+
name: Text Generation
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96 |
+
dataset:
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97 |
+
name: Winogrande (5-shot)
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98 |
+
type: winogrande
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99 |
+
config: winogrande_xl
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100 |
+
split: validation
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101 |
+
args:
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102 |
+
num_few_shot: 5
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103 |
+
metrics:
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104 |
+
- type: acc
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105 |
+
value: 71.03
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106 |
+
name: accuracy
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107 |
+
source:
|
108 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/calme-2.1-phi3-4b
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109 |
+
name: Open LLM Leaderboard
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110 |
+
- task:
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111 |
+
type: text-generation
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112 |
+
name: Text Generation
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113 |
+
dataset:
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114 |
+
name: GSM8k (5-shot)
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115 |
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type: gsm8k
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116 |
+
config: main
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117 |
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split: test
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118 |
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args:
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119 |
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num_few_shot: 5
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120 |
+
metrics:
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121 |
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- type: acc
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122 |
+
value: 72.25
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123 |
+
name: accuracy
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124 |
+
source:
|
125 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/calme-2.1-phi3-4b
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126 |
+
name: Open LLM Leaderboard
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127 |
+
- task:
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128 |
+
type: text-generation
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129 |
+
name: Text Generation
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130 |
+
dataset:
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131 |
+
name: IFEval (0-Shot)
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132 |
+
type: HuggingFaceH4/ifeval
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133 |
+
args:
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134 |
+
num_few_shot: 0
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135 |
+
metrics:
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136 |
+
- type: inst_level_strict_acc and prompt_level_strict_acc
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137 |
+
value: 55.25
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138 |
+
name: strict accuracy
|
139 |
+
source:
|
140 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-2.1-phi3-4b
|
141 |
+
name: Open LLM Leaderboard
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142 |
+
- task:
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143 |
+
type: text-generation
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144 |
+
name: Text Generation
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145 |
+
dataset:
|
146 |
+
name: BBH (3-Shot)
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147 |
+
type: BBH
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148 |
+
args:
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149 |
+
num_few_shot: 3
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150 |
+
metrics:
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151 |
+
- type: acc_norm
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152 |
+
value: 38.12
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153 |
+
name: normalized accuracy
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154 |
+
source:
|
155 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-2.1-phi3-4b
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156 |
+
name: Open LLM Leaderboard
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157 |
+
- task:
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158 |
+
type: text-generation
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159 |
+
name: Text Generation
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160 |
+
dataset:
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161 |
+
name: MATH Lvl 5 (4-Shot)
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162 |
+
type: hendrycks/competition_math
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args:
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164 |
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num_few_shot: 4
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165 |
+
metrics:
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166 |
+
- type: exact_match
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167 |
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value: 4.31
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168 |
+
name: exact match
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169 |
+
source:
|
170 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-2.1-phi3-4b
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171 |
+
name: Open LLM Leaderboard
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172 |
+
- task:
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173 |
+
type: text-generation
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174 |
+
name: Text Generation
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175 |
+
dataset:
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176 |
+
name: GPQA (0-shot)
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177 |
+
type: Idavidrein/gpqa
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178 |
+
args:
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179 |
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num_few_shot: 0
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+
metrics:
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181 |
+
- type: acc_norm
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182 |
+
value: 10.63
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183 |
+
name: acc_norm
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184 |
+
source:
|
185 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-2.1-phi3-4b
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186 |
+
name: Open LLM Leaderboard
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187 |
+
- task:
|
188 |
+
type: text-generation
|
189 |
+
name: Text Generation
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190 |
+
dataset:
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191 |
+
name: MuSR (0-shot)
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192 |
+
type: TAUR-Lab/MuSR
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args:
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194 |
+
num_few_shot: 0
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195 |
+
metrics:
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196 |
+
- type: acc_norm
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197 |
+
value: 8.26
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198 |
+
name: acc_norm
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199 |
+
source:
|
200 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-2.1-phi3-4b
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201 |
+
name: Open LLM Leaderboard
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202 |
+
- task:
|
203 |
+
type: text-generation
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204 |
+
name: Text Generation
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205 |
+
dataset:
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206 |
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name: MMLU-PRO (5-shot)
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207 |
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type: TIGER-Lab/MMLU-Pro
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208 |
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config: main
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split: test
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210 |
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args:
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211 |
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num_few_shot: 5
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212 |
+
metrics:
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213 |
+
- type: acc
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214 |
+
value: 30.51
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215 |
+
name: accuracy
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216 |
+
source:
|
217 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-2.1-phi3-4b
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218 |
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name: Open LLM Leaderboard
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+
---
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220 |
+
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# Nabokov/calme-2.1-phi3-4b-Q8_0-GGUF
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This model was converted to GGUF format from [`MaziyarPanahi/calme-2.1-phi3-4b`](https://huggingface.co/MaziyarPanahi/calme-2.1-phi3-4b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/MaziyarPanahi/calme-2.1-phi3-4b) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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```bash
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brew install llama.cpp
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```
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Invoke the llama.cpp server or the CLI.
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### CLI:
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```bash
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llama-cli --hf-repo Nabokov/calme-2.1-phi3-4b-Q8_0-GGUF --hf-file calme-2.1-phi3-4b-q8_0.gguf -p "The meaning to life and the universe is"
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```
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### Server:
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```bash
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llama-server --hf-repo Nabokov/calme-2.1-phi3-4b-Q8_0-GGUF --hf-file calme-2.1-phi3-4b-q8_0.gguf -c 2048
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```
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Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
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Step 1: Clone llama.cpp from GitHub.
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```
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git clone https://github.com/ggerganov/llama.cpp
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```
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Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
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```
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cd llama.cpp && LLAMA_CURL=1 make
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```
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Step 3: Run inference through the main binary.
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```
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./llama-cli --hf-repo Nabokov/calme-2.1-phi3-4b-Q8_0-GGUF --hf-file calme-2.1-phi3-4b-q8_0.gguf -p "The meaning to life and the universe is"
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```
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or
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```
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./llama-server --hf-repo Nabokov/calme-2.1-phi3-4b-Q8_0-GGUF --hf-file calme-2.1-phi3-4b-q8_0.gguf -c 2048
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+
```
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