itlwas
commited on
Commit
•
9210118
1
Parent(s):
d3f64c2
Upload README.md with huggingface_hub
Browse files
README.md
ADDED
@@ -0,0 +1,301 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
language:
|
3 |
+
- en
|
4 |
+
license: other
|
5 |
+
tags:
|
6 |
+
- axolotl
|
7 |
+
- generated_from_trainer
|
8 |
+
- instruct
|
9 |
+
- finetune
|
10 |
+
- chatml
|
11 |
+
- gpt4
|
12 |
+
- synthetic data
|
13 |
+
- science
|
14 |
+
- physics
|
15 |
+
- chemistry
|
16 |
+
- biology
|
17 |
+
- math
|
18 |
+
- llama
|
19 |
+
- llama3
|
20 |
+
- llama-cpp
|
21 |
+
- gguf-my-repo
|
22 |
+
base_model: Weyaxi/Einstein-v6.1-Llama3-8B
|
23 |
+
datasets:
|
24 |
+
- allenai/ai2_arc
|
25 |
+
- camel-ai/physics
|
26 |
+
- camel-ai/chemistry
|
27 |
+
- camel-ai/biology
|
28 |
+
- camel-ai/math
|
29 |
+
- metaeval/reclor
|
30 |
+
- openbookqa
|
31 |
+
- mandyyyyii/scibench
|
32 |
+
- derek-thomas/ScienceQA
|
33 |
+
- TIGER-Lab/ScienceEval
|
34 |
+
- jondurbin/airoboros-3.2
|
35 |
+
- LDJnr/Capybara
|
36 |
+
- Cot-Alpaca-GPT4-From-OpenHermes-2.5
|
37 |
+
- STEM-AI-mtl/Electrical-engineering
|
38 |
+
- knowrohit07/saraswati-stem
|
39 |
+
- sablo/oasst2_curated
|
40 |
+
- lmsys/lmsys-chat-1m
|
41 |
+
- TIGER-Lab/MathInstruct
|
42 |
+
- bigbio/med_qa
|
43 |
+
- meta-math/MetaMathQA-40K
|
44 |
+
- openbookqa
|
45 |
+
- piqa
|
46 |
+
- metaeval/reclor
|
47 |
+
- derek-thomas/ScienceQA
|
48 |
+
- scibench
|
49 |
+
- sciq
|
50 |
+
- Open-Orca/SlimOrca
|
51 |
+
- migtissera/Synthia-v1.3
|
52 |
+
- TIGER-Lab/ScienceEval
|
53 |
+
- allenai/WildChat
|
54 |
+
- microsoft/orca-math-word-problems-200k
|
55 |
+
- openchat/openchat_sharegpt4_dataset
|
56 |
+
- teknium/GPTeacher-General-Instruct
|
57 |
+
- m-a-p/CodeFeedback-Filtered-Instruction
|
58 |
+
- totally-not-an-llm/EverythingLM-data-V3
|
59 |
+
- HuggingFaceH4/no_robots
|
60 |
+
- OpenAssistant/oasst_top1_2023-08-25
|
61 |
+
- WizardLM/WizardLM_evol_instruct_70k
|
62 |
+
model-index:
|
63 |
+
- name: Einstein-v6.1-Llama3-8B
|
64 |
+
results:
|
65 |
+
- task:
|
66 |
+
type: text-generation
|
67 |
+
name: Text Generation
|
68 |
+
dataset:
|
69 |
+
name: AI2 Reasoning Challenge (25-Shot)
|
70 |
+
type: ai2_arc
|
71 |
+
config: ARC-Challenge
|
72 |
+
split: test
|
73 |
+
args:
|
74 |
+
num_few_shot: 25
|
75 |
+
metrics:
|
76 |
+
- type: acc_norm
|
77 |
+
value: 62.46
|
78 |
+
name: normalized accuracy
|
79 |
+
source:
|
80 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
|
81 |
+
name: Open LLM Leaderboard
|
82 |
+
- task:
|
83 |
+
type: text-generation
|
84 |
+
name: Text Generation
|
85 |
+
dataset:
|
86 |
+
name: HellaSwag (10-Shot)
|
87 |
+
type: hellaswag
|
88 |
+
split: validation
|
89 |
+
args:
|
90 |
+
num_few_shot: 10
|
91 |
+
metrics:
|
92 |
+
- type: acc_norm
|
93 |
+
value: 82.41
|
94 |
+
name: normalized accuracy
|
95 |
+
source:
|
96 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
|
97 |
+
name: Open LLM Leaderboard
|
98 |
+
- task:
|
99 |
+
type: text-generation
|
100 |
+
name: Text Generation
|
101 |
+
dataset:
|
102 |
+
name: MMLU (5-Shot)
|
103 |
+
type: cais/mmlu
|
104 |
+
config: all
|
105 |
+
split: test
|
106 |
+
args:
|
107 |
+
num_few_shot: 5
|
108 |
+
metrics:
|
109 |
+
- type: acc
|
110 |
+
value: 66.19
|
111 |
+
name: accuracy
|
112 |
+
source:
|
113 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
|
114 |
+
name: Open LLM Leaderboard
|
115 |
+
- task:
|
116 |
+
type: text-generation
|
117 |
+
name: Text Generation
|
118 |
+
dataset:
|
119 |
+
name: TruthfulQA (0-shot)
|
120 |
+
type: truthful_qa
|
121 |
+
config: multiple_choice
|
122 |
+
split: validation
|
123 |
+
args:
|
124 |
+
num_few_shot: 0
|
125 |
+
metrics:
|
126 |
+
- type: mc2
|
127 |
+
value: 55.1
|
128 |
+
source:
|
129 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
|
130 |
+
name: Open LLM Leaderboard
|
131 |
+
- task:
|
132 |
+
type: text-generation
|
133 |
+
name: Text Generation
|
134 |
+
dataset:
|
135 |
+
name: Winogrande (5-shot)
|
136 |
+
type: winogrande
|
137 |
+
config: winogrande_xl
|
138 |
+
split: validation
|
139 |
+
args:
|
140 |
+
num_few_shot: 5
|
141 |
+
metrics:
|
142 |
+
- type: acc
|
143 |
+
value: 79.32
|
144 |
+
name: accuracy
|
145 |
+
source:
|
146 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
|
147 |
+
name: Open LLM Leaderboard
|
148 |
+
- task:
|
149 |
+
type: text-generation
|
150 |
+
name: Text Generation
|
151 |
+
dataset:
|
152 |
+
name: GSM8k (5-shot)
|
153 |
+
type: gsm8k
|
154 |
+
config: main
|
155 |
+
split: test
|
156 |
+
args:
|
157 |
+
num_few_shot: 5
|
158 |
+
metrics:
|
159 |
+
- type: acc
|
160 |
+
value: 66.11
|
161 |
+
name: accuracy
|
162 |
+
source:
|
163 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
|
164 |
+
name: Open LLM Leaderboard
|
165 |
+
- task:
|
166 |
+
type: text-generation
|
167 |
+
name: Text Generation
|
168 |
+
dataset:
|
169 |
+
name: IFEval (0-Shot)
|
170 |
+
type: HuggingFaceH4/ifeval
|
171 |
+
args:
|
172 |
+
num_few_shot: 0
|
173 |
+
metrics:
|
174 |
+
- type: inst_level_strict_acc and prompt_level_strict_acc
|
175 |
+
value: 45.68
|
176 |
+
name: strict accuracy
|
177 |
+
source:
|
178 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
|
179 |
+
name: Open LLM Leaderboard
|
180 |
+
- task:
|
181 |
+
type: text-generation
|
182 |
+
name: Text Generation
|
183 |
+
dataset:
|
184 |
+
name: BBH (3-Shot)
|
185 |
+
type: BBH
|
186 |
+
args:
|
187 |
+
num_few_shot: 3
|
188 |
+
metrics:
|
189 |
+
- type: acc_norm
|
190 |
+
value: 29.38
|
191 |
+
name: normalized accuracy
|
192 |
+
source:
|
193 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
|
194 |
+
name: Open LLM Leaderboard
|
195 |
+
- task:
|
196 |
+
type: text-generation
|
197 |
+
name: Text Generation
|
198 |
+
dataset:
|
199 |
+
name: MATH Lvl 5 (4-Shot)
|
200 |
+
type: hendrycks/competition_math
|
201 |
+
args:
|
202 |
+
num_few_shot: 4
|
203 |
+
metrics:
|
204 |
+
- type: exact_match
|
205 |
+
value: 5.74
|
206 |
+
name: exact match
|
207 |
+
source:
|
208 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
|
209 |
+
name: Open LLM Leaderboard
|
210 |
+
- task:
|
211 |
+
type: text-generation
|
212 |
+
name: Text Generation
|
213 |
+
dataset:
|
214 |
+
name: GPQA (0-shot)
|
215 |
+
type: Idavidrein/gpqa
|
216 |
+
args:
|
217 |
+
num_few_shot: 0
|
218 |
+
metrics:
|
219 |
+
- type: acc_norm
|
220 |
+
value: 4.25
|
221 |
+
name: acc_norm
|
222 |
+
source:
|
223 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
|
224 |
+
name: Open LLM Leaderboard
|
225 |
+
- task:
|
226 |
+
type: text-generation
|
227 |
+
name: Text Generation
|
228 |
+
dataset:
|
229 |
+
name: MuSR (0-shot)
|
230 |
+
type: TAUR-Lab/MuSR
|
231 |
+
args:
|
232 |
+
num_few_shot: 0
|
233 |
+
metrics:
|
234 |
+
- type: acc_norm
|
235 |
+
value: 11.23
|
236 |
+
name: acc_norm
|
237 |
+
source:
|
238 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
|
239 |
+
name: Open LLM Leaderboard
|
240 |
+
- task:
|
241 |
+
type: text-generation
|
242 |
+
name: Text Generation
|
243 |
+
dataset:
|
244 |
+
name: MMLU-PRO (5-shot)
|
245 |
+
type: TIGER-Lab/MMLU-Pro
|
246 |
+
config: main
|
247 |
+
split: test
|
248 |
+
args:
|
249 |
+
num_few_shot: 5
|
250 |
+
metrics:
|
251 |
+
- type: acc
|
252 |
+
value: 23.68
|
253 |
+
name: accuracy
|
254 |
+
source:
|
255 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
|
256 |
+
name: Open LLM Leaderboard
|
257 |
+
---
|
258 |
+
|
259 |
+
# AIronMind/Einstein-v6.1-Llama3-8B-Q4_K_M-GGUF
|
260 |
+
This model was converted to GGUF format from [`Weyaxi/Einstein-v6.1-Llama3-8B`](https://huggingface.co/Weyaxi/Einstein-v6.1-Llama3-8B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
|
261 |
+
Refer to the [original model card](https://huggingface.co/Weyaxi/Einstein-v6.1-Llama3-8B) for more details on the model.
|
262 |
+
|
263 |
+
## Use with llama.cpp
|
264 |
+
Install llama.cpp through brew (works on Mac and Linux)
|
265 |
+
|
266 |
+
```bash
|
267 |
+
brew install llama.cpp
|
268 |
+
|
269 |
+
```
|
270 |
+
Invoke the llama.cpp server or the CLI.
|
271 |
+
|
272 |
+
### CLI:
|
273 |
+
```bash
|
274 |
+
llama-cli --hf-repo AIronMind/Einstein-v6.1-Llama3-8B-Q4_K_M-GGUF --hf-file einstein-v6.1-llama3-8b-q4_k_m.gguf -p "The meaning to life and the universe is"
|
275 |
+
```
|
276 |
+
|
277 |
+
### Server:
|
278 |
+
```bash
|
279 |
+
llama-server --hf-repo AIronMind/Einstein-v6.1-Llama3-8B-Q4_K_M-GGUF --hf-file einstein-v6.1-llama3-8b-q4_k_m.gguf -c 2048
|
280 |
+
```
|
281 |
+
|
282 |
+
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.
|
283 |
+
|
284 |
+
Step 1: Clone llama.cpp from GitHub.
|
285 |
+
```
|
286 |
+
git clone https://github.com/ggerganov/llama.cpp
|
287 |
+
```
|
288 |
+
|
289 |
+
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).
|
290 |
+
```
|
291 |
+
cd llama.cpp && LLAMA_CURL=1 make
|
292 |
+
```
|
293 |
+
|
294 |
+
Step 3: Run inference through the main binary.
|
295 |
+
```
|
296 |
+
./llama-cli --hf-repo AIronMind/Einstein-v6.1-Llama3-8B-Q4_K_M-GGUF --hf-file einstein-v6.1-llama3-8b-q4_k_m.gguf -p "The meaning to life and the universe is"
|
297 |
+
```
|
298 |
+
or
|
299 |
+
```
|
300 |
+
./llama-server --hf-repo AIronMind/Einstein-v6.1-Llama3-8B-Q4_K_M-GGUF --hf-file einstein-v6.1-llama3-8b-q4_k_m.gguf -c 2048
|
301 |
+
```
|