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- Einstein-v4-7B-Q3_K_L.gguf +3 -0
- Einstein-v4-7B-Q4_K_M.gguf +3 -0
- Einstein-v4-7B-Q5_K_M.gguf +3 -0
- Einstein-v4-7B-Q6_K.gguf +3 -0
- Einstein-v4-7B-Q8_0.gguf +3 -0
- README.md +355 -0
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README.md
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---
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2 |
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license: other
|
3 |
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tags:
|
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+
- axolotl
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- generated_from_trainer
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- Mistral
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- instruct
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- finetune
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- chatml
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- gpt4
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- synthetic data
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- science
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- physics
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- chemistry
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- biology
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- math
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+
base_model: mistralai/Mistral-7B-v0.1
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datasets:
|
19 |
+
- allenai/ai2_arc
|
20 |
+
- camel-ai/physics
|
21 |
+
- camel-ai/chemistry
|
22 |
+
- camel-ai/biology
|
23 |
+
- camel-ai/math
|
24 |
+
- metaeval/reclor
|
25 |
+
- openbookqa
|
26 |
+
- mandyyyyii/scibench
|
27 |
+
- derek-thomas/ScienceQA
|
28 |
+
- TIGER-Lab/ScienceEval
|
29 |
+
- jondurbin/airoboros-3.2
|
30 |
+
- LDJnr/Capybara
|
31 |
+
- Cot-Alpaca-GPT4-From-OpenHermes-2.5
|
32 |
+
- STEM-AI-mtl/Electrical-engineering
|
33 |
+
- knowrohit07/saraswati-stem
|
34 |
+
- sablo/oasst2_curated
|
35 |
+
- glaiveai/glaive-code-assistant
|
36 |
+
- lmsys/lmsys-chat-1m
|
37 |
+
- TIGER-Lab/MathInstruct
|
38 |
+
- bigbio/med_qa
|
39 |
+
- meta-math/MetaMathQA-40K
|
40 |
+
- openbookqa
|
41 |
+
- piqa
|
42 |
+
- metaeval/reclor
|
43 |
+
- derek-thomas/ScienceQA
|
44 |
+
- scibench
|
45 |
+
- sciq
|
46 |
+
- Open-Orca/SlimOrca
|
47 |
+
- migtissera/Synthia-v1.3
|
48 |
+
- TIGER-Lab/ScienceEval
|
49 |
+
model-index:
|
50 |
+
- name: Einstein-v4-7B
|
51 |
+
results:
|
52 |
+
- task:
|
53 |
+
type: text-generation
|
54 |
+
name: Text Generation
|
55 |
+
dataset:
|
56 |
+
name: AI2 Reasoning Challenge (25-Shot)
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57 |
+
type: ai2_arc
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58 |
+
config: ARC-Challenge
|
59 |
+
split: test
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60 |
+
args:
|
61 |
+
num_few_shot: 25
|
62 |
+
metrics:
|
63 |
+
- type: acc_norm
|
64 |
+
value: 64.68
|
65 |
+
name: normalized accuracy
|
66 |
+
source:
|
67 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v4-7B
|
68 |
+
name: Open LLM Leaderboard
|
69 |
+
- task:
|
70 |
+
type: text-generation
|
71 |
+
name: Text Generation
|
72 |
+
dataset:
|
73 |
+
name: HellaSwag (10-Shot)
|
74 |
+
type: hellaswag
|
75 |
+
split: validation
|
76 |
+
args:
|
77 |
+
num_few_shot: 10
|
78 |
+
metrics:
|
79 |
+
- type: acc_norm
|
80 |
+
value: 83.75
|
81 |
+
name: normalized accuracy
|
82 |
+
source:
|
83 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v4-7B
|
84 |
+
name: Open LLM Leaderboard
|
85 |
+
- task:
|
86 |
+
type: text-generation
|
87 |
+
name: Text Generation
|
88 |
+
dataset:
|
89 |
+
name: MMLU (5-Shot)
|
90 |
+
type: cais/mmlu
|
91 |
+
config: all
|
92 |
+
split: test
|
93 |
+
args:
|
94 |
+
num_few_shot: 5
|
95 |
+
metrics:
|
96 |
+
- type: acc
|
97 |
+
value: 62.31
|
98 |
+
name: accuracy
|
99 |
+
source:
|
100 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v4-7B
|
101 |
+
name: Open LLM Leaderboard
|
102 |
+
- task:
|
103 |
+
type: text-generation
|
104 |
+
name: Text Generation
|
105 |
+
dataset:
|
106 |
+
name: TruthfulQA (0-shot)
|
107 |
+
type: truthful_qa
|
108 |
+
config: multiple_choice
|
109 |
+
split: validation
|
110 |
+
args:
|
111 |
+
num_few_shot: 0
|
112 |
+
metrics:
|
113 |
+
- type: mc2
|
114 |
+
value: 55.15
|
115 |
+
source:
|
116 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v4-7B
|
117 |
+
name: Open LLM Leaderboard
|
118 |
+
- task:
|
119 |
+
type: text-generation
|
120 |
+
name: Text Generation
|
121 |
+
dataset:
|
122 |
+
name: Winogrande (5-shot)
|
123 |
+
type: winogrande
|
124 |
+
config: winogrande_xl
|
125 |
+
split: validation
|
126 |
+
args:
|
127 |
+
num_few_shot: 5
|
128 |
+
metrics:
|
129 |
+
- type: acc
|
130 |
+
value: 76.24
|
131 |
+
name: accuracy
|
132 |
+
source:
|
133 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v4-7B
|
134 |
+
name: Open LLM Leaderboard
|
135 |
+
- task:
|
136 |
+
type: text-generation
|
137 |
+
name: Text Generation
|
138 |
+
dataset:
|
139 |
+
name: GSM8k (5-shot)
|
140 |
+
type: gsm8k
|
141 |
+
config: main
|
142 |
+
split: test
|
143 |
+
args:
|
144 |
+
num_few_shot: 5
|
145 |
+
metrics:
|
146 |
+
- type: acc
|
147 |
+
value: 57.62
|
148 |
+
name: accuracy
|
149 |
+
source:
|
150 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v4-7B
|
151 |
+
name: Open LLM Leaderboard
|
152 |
+
---
|
153 |
+
|
154 |
+
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/U0zyXVGj-O8a7KP3BvPue.png)
|
155 |
+
# π¬ Einstein-v4-7B
|
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+
|
157 |
+
This model is a full fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on diverse datasets.
|
158 |
+
|
159 |
+
This model is finetuned using `7xRTX3090` + `1xRTXA6000` using [axolotl](https://github.com/OpenAccess-AI-Collective/axolotl).
|
160 |
+
|
161 |
+
This model's training was sponsored by [sablo.ai](https://sablo.ai).
|
162 |
+
|
163 |
+
<details><summary>See axolotl config</summary>
|
164 |
+
|
165 |
+
axolotl version: `0.4.0`
|
166 |
+
```yaml
|
167 |
+
base_model: mistralai/Mistral-7B-v0.1
|
168 |
+
model_type: MistralForCausalLM
|
169 |
+
tokenizer_type: LlamaTokenizer
|
170 |
+
is_mistral_derived_model: true
|
171 |
+
|
172 |
+
load_in_8bit: false
|
173 |
+
load_in_4bit: false
|
174 |
+
strict: false
|
175 |
+
|
176 |
+
chat_template: chatml
|
177 |
+
datasets:
|
178 |
+
- path: data/merged_all.json
|
179 |
+
ds_type: json
|
180 |
+
type: alpaca
|
181 |
+
conversation: chatml
|
182 |
+
|
183 |
+
- path: data/capybara_sharegpt.json
|
184 |
+
ds_type: json
|
185 |
+
type: sharegpt
|
186 |
+
conversation: chatml
|
187 |
+
|
188 |
+
- path: data/synthia-v1.3_sharegpt_12500.json
|
189 |
+
ds_type: json
|
190 |
+
type: sharegpt
|
191 |
+
conversation: chatml
|
192 |
+
|
193 |
+
- path: data/cot_alpaca_gpt4_extracted_openhermes_2.5_sharegpt.json
|
194 |
+
ds_type: json
|
195 |
+
type: sharegpt
|
196 |
+
conversation: chatml
|
197 |
+
|
198 |
+
- path: data/slimorca_dedup_filtered_95k_sharegpt.json
|
199 |
+
ds_type: json
|
200 |
+
type: sharegpt
|
201 |
+
conversation: chatml
|
202 |
+
|
203 |
+
- path: data/airoboros_3.2_without_contextual_slimorca_orca_sharegpt.json
|
204 |
+
ds_type: json
|
205 |
+
type: sharegpt
|
206 |
+
conversation: chatml
|
207 |
+
|
208 |
+
dataset_prepared_path: last_run_prepared
|
209 |
+
val_set_size: 0.005
|
210 |
+
output_dir: ./Einstein-v4-model
|
211 |
+
|
212 |
+
sequence_len: 8192
|
213 |
+
sample_packing: true
|
214 |
+
pad_to_sequence_len: true
|
215 |
+
eval_sample_packing: false
|
216 |
+
|
217 |
+
wandb_project: Einstein
|
218 |
+
wandb_entity:
|
219 |
+
wandb_watch:
|
220 |
+
wandb_name:
|
221 |
+
wandb_log_model:
|
222 |
+
hub_model_id: Weyaxi/Einstein-v4-7B
|
223 |
+
|
224 |
+
save_safetensors: true
|
225 |
+
|
226 |
+
gradient_accumulation_steps: 4
|
227 |
+
micro_batch_size: 1
|
228 |
+
num_epochs: 1.5
|
229 |
+
optimizer: adamw_bnb_8bit
|
230 |
+
lr_scheduler: cosine
|
231 |
+
learning_rate: 0.000005
|
232 |
+
|
233 |
+
train_on_inputs: false
|
234 |
+
group_by_length: false
|
235 |
+
bf16: true
|
236 |
+
fp16: false
|
237 |
+
tf32: false
|
238 |
+
|
239 |
+
gradient_checkpointing: true
|
240 |
+
early_stopping_patience:
|
241 |
+
resume_from_checkpoint:
|
242 |
+
local_rank:
|
243 |
+
logging_steps: 1
|
244 |
+
xformers_attention:
|
245 |
+
flash_attention: true
|
246 |
+
|
247 |
+
warmup_steps: 10
|
248 |
+
evals_per_epoch: 2 # changed
|
249 |
+
eval_table_size:
|
250 |
+
eval_table_max_new_tokens: 128
|
251 |
+
saves_per_epoch: 4
|
252 |
+
debug:
|
253 |
+
|
254 |
+
deepspeed: zero3_bf16.json
|
255 |
+
weight_decay: 0.0
|
256 |
+
fsdp:
|
257 |
+
fsdp_config:
|
258 |
+
special_tokens:
|
259 |
+
bos_token: "<s>"
|
260 |
+
eos_token: "<|im_end|>"
|
261 |
+
unk_token: "<unk>"
|
262 |
+
tokens:
|
263 |
+
- "<|im_start|>"
|
264 |
+
|
265 |
+
resume_from_checkpoint: Einstein-v4-model/checkpoint-521
|
266 |
+
|
267 |
+
```
|
268 |
+
|
269 |
+
</details><br>
|
270 |
+
|
271 |
+
# π¬ Prompt Template
|
272 |
+
|
273 |
+
You can use this prompt template while using the model:
|
274 |
+
|
275 |
+
### ChatML
|
276 |
+
|
277 |
+
```
|
278 |
+
<|im_start|>system
|
279 |
+
{system}<|im_end|>
|
280 |
+
<|im_start|>user
|
281 |
+
{user}<|im_end|>
|
282 |
+
<|im_start|>assistant
|
283 |
+
{asistant}<|im_end|>
|
284 |
+
```
|
285 |
+
|
286 |
+
This prompt template is available as a [chat template](https://huggingface.co/docs/transformers/main/chat_templating), which means you can format messages using the
|
287 |
+
`tokenizer.apply_chat_template()` method:
|
288 |
+
|
289 |
+
```python
|
290 |
+
messages = [
|
291 |
+
{"role": "system", "content": "You are helpful AI asistant."},
|
292 |
+
{"role": "user", "content": "Hello!"}
|
293 |
+
]
|
294 |
+
gen_input = tokenizer.apply_chat_template(message, return_tensors="pt")
|
295 |
+
model.generate(**gen_input)
|
296 |
+
```
|
297 |
+
|
298 |
+
# π Quantizationed versions
|
299 |
+
|
300 |
+
Quantizationed versions of this model is available.
|
301 |
+
|
302 |
+
## Exl2 [@bartowski](https://hf.co/bartowski):
|
303 |
+
|
304 |
+
- https://huggingface.co/bartowski/Einstein-v4-7B-exl2
|
305 |
+
|
306 |
+
You can switch up branches in the repo to use the one you want
|
307 |
+
|
308 |
+
| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
|
309 |
+
| ----- | ---- | ------- | ------ | ------ | ------ | ------------ |
|
310 |
+
| [8_0](https://huggingface.co/bartowski/Einstein-v4-7B-exl2/tree/8_0) | 8.0 | 8.0 | 8.4 GB | 9.8 GB | 11.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
|
311 |
+
| [6_5](https://huggingface.co/bartowski/Einstein-v4-7B-exl2/tree/6_5) | 6.5 | 8.0 | 7.2 GB | 8.6 GB | 10.6 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. |
|
312 |
+
| [5_0](https://huggingface.co/bartowski/Einstein-v4-7B-exl2/tree/5_0) | 5.0 | 6.0 | 6.0 GB | 7.4 GB | 9.4 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
|
313 |
+
| [4_25](https://huggingface.co/bartowski/Einstein-v4-7B-exl2/tree/4_25) | 4.25 | 6.0 | 5.3 GB | 6.7 GB | 8.7 GB | GPTQ equivalent bits per weight, slightly higher quality. |
|
314 |
+
| [3_5](https://huggingface.co/bartowski/Einstein-v4-7B-exl2/tree/3_5) | 3.5 | 6.0 | 4.7 GB | 6.1 GB | 8.1 GB | Lower quality, only use if you have to. |
|
315 |
+
|
316 |
+
|
317 |
+
# π― [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
|
318 |
+
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__Einstein-v4-7B)
|
319 |
+
|
320 |
+
| Metric |Value|
|
321 |
+
|---------------------------------|----:|
|
322 |
+
|Avg. |66.62|
|
323 |
+
|AI2 Reasoning Challenge (25-Shot)|64.68|
|
324 |
+
|HellaSwag (10-Shot) |83.75|
|
325 |
+
|MMLU (5-Shot) |62.31|
|
326 |
+
|TruthfulQA (0-shot) |55.15|
|
327 |
+
|Winogrande (5-shot) |76.24|
|
328 |
+
|GSM8k (5-shot) |57.62|
|
329 |
+
|
330 |
+
# π€ Additional information about training
|
331 |
+
|
332 |
+
This model is full fine-tuned for 1.5 epoch.
|
333 |
+
|
334 |
+
Total number of steps was 1562.
|
335 |
+
|
336 |
+
<details><summary>Loss graph</summary>
|
337 |
+
|
338 |
+
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/UO0NJz9VN5NncIXi82Nk2.png)
|
339 |
+
</details><br>
|
340 |
+
|
341 |
+
# π€ Acknowledgments
|
342 |
+
|
343 |
+
Thanks to [sablo.ai](https://sablo.ai) for sponsoring this model.
|
344 |
+
|
345 |
+
Thanks to all the dataset authors mentioned in the datasets section.
|
346 |
+
|
347 |
+
Thanks to [axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) for making the repository I used to make this model.
|
348 |
+
|
349 |
+
Thanks to all open source AI community.
|
350 |
+
|
351 |
+
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
|
352 |
+
|
353 |
+
If you would like to support me:
|
354 |
+
|
355 |
+
[β Buy Me a Coffee](https://www.buymeacoffee.com/weyaxi)
|