File size: 8,934 Bytes
cf4eeb7
1336e20
 
7200a4a
1336e20
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3440921
1336e20
7200a4a
1336e20
7200a4a
 
 
25db3ae
 
 
 
 
 
 
 
 
9d56381
25db3ae
9d56381
b40e8e6
 
 
 
 
 
 
 
 
 
 
 
ac8f35c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
7200a4a
 
 
 
 
 
 
 
 
 
dcfb081
7200a4a
 
 
 
 
 
 
 
 
 
 
 
 
 
dcfb081
7200a4a
 
 
 
 
 
 
 
 
 
 
 
 
 
dcfb081
7200a4a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
dcfb081
7200a4a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
dcfb081
7200a4a
 
 
 
cf4eeb7
 
 
1336e20
cf4eeb7
 
1336e20
 
 
ae516f1
cf4eeb7
 
1336e20
cf4eeb7
1336e20
cf4eeb7
1336e20
cf4eeb7
1336e20
cf4eeb7
1336e20
cf4eeb7
 
1336e20
 
cf4eeb7
1336e20
 
 
cf4eeb7
1336e20
cf4eeb7
1336e20
 
 
 
 
 
cf4eeb7
1336e20
 
 
 
cf4eeb7
1336e20
 
 
 
cf4eeb7
1336e20
 
cf4eeb7
 
1336e20
 
cf4eeb7
3440921
cf4eeb7
3440921
cf4eeb7
 
1336e20
cf4eeb7
 
1336e20
cf4eeb7
1336e20
cf4eeb7
1336e20
cf4eeb7
1336e20
 
cf4eeb7
7200a4a
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
---
language:
- en
license: llama3.2
tags:
- shining-valiant
- shining-valiant-2
- valiant
- valiant-labs
- llama
- llama-3.2
- llama-3.2-instruct
- llama-3.2-instruct-3b
- llama-3
- llama-3-instruct
- llama-3-instruct-3b
- 3b
- science
- physics
- biology
- chemistry
- compsci
- computer-science
- engineering
- technical
- conversational
- chat
- instruct
base_model: meta-llama/Llama-3.2-3B-Instruct
datasets:
- sequelbox/Celestia
- sequelbox/Spurline
- sequelbox/Supernova
pipeline_tag: text-generation
model_type: llama
model-index:
- name: Llama3.2-3B-ShiningValiant2
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 69.85
      name: acc
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: ARC Challenge (25-Shot)
      type: arc_challenge
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 46.25
      name: normalized accuracy
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU College Biology (5-shot)
      type: mmlu
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 56.25
      name: acc
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU High School Biology (5-shot)
      type: mmlu
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 63.55
      name: acc
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU College Chemistry (5-shot)
      type: mmlu
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 41.0
      name: acc
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU High School Chemistry (5-shot)
      type: mmlu
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 41.38
      name: acc
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU College Physics (5-shot)
      type: mmlu
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 34.31
      name: acc
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU High School Physics (5-shot)
      type: mmlu
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 35.76
      name: acc
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU College Computer Science (5-shot)
      type: mmlu
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 48.0
      name: acc
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU High School Computer Science (5-shot)
      type: mmlu
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 58.0
      name: acc
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU STEM (5-shot)
      type: mmlu
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 45.54
      name: acc
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: HuggingFaceH4/ifeval
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 48.9
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-ShiningValiant2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: BBH
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 19.11
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-ShiningValiant2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: hendrycks/competition_math
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 9.14
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-ShiningValiant2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 3.02
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-ShiningValiant2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MuSR (0-shot)
      type: TAUR-Lab/MuSR
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 5.49
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-ShiningValiant2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU-PRO (5-shot)
      type: TIGER-Lab/MMLU-Pro
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 19.1
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-ShiningValiant2
      name: Open LLM Leaderboard
---


![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/63444f2687964b331809eb55/EXX7TKbB-R6arxww2mk0R.jpeg)


Shining Valiant 2 is a chat model built on Llama 3.2 3b, finetuned on our data for friendship, insight, knowledge and enthusiasm.
  - Finetuned on [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) for best available general performance
  - Trained on a variety of high quality data; focused on science, engineering, technical knowledge, and structured reasoning
  - Also available for [Llama 3.1 70b](https://huggingface.co/ValiantLabs/Llama3.1-70B-ShiningValiant2) and [Llama 3.1 8b!](https://huggingface.co/ValiantLabs/Llama3.1-8B-ShiningValiant2)


## Version

This is the **2024-09-27** release of Shining Valiant 2 for Llama 3.2 3b.

We've improved and open-sourced our new baseline [science-instruct dataset](https://huggingface.co/datasets/sequelbox/Celestia). This release features improvements in physics, chemistry, biology, and computer science.

Future upgrades will continue to expand Shining Valiant's technical knowledge base.

Help us and recommend Shining Valiant 2 to your friends!


## Prompting Guide
Shining Valiant 2 uses the [Llama 3.2 Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) prompt format. The example script below can be used as a starting point for general chat:

```python
import transformers
import torch

model_id = "ValiantLabs/Llama3.2-3B-ShiningValiant2"

pipeline = transformers.pipeline(
    "text-generation",
    model=model_id,
    model_kwargs={"torch_dtype": torch.bfloat16},
    device_map="auto",
)

messages = [
    {"role": "system", "content": "You are an AI assistant."},
    {"role": "user", "content": "Describe the use of chiral auxiliaries in organic synthesis."}
]

outputs = pipeline(
    messages,
    max_new_tokens=2048,
)

print(outputs[0]["generated_text"][-1])
```


## The Model
Shining Valiant 2 is built on top of Llama 3.2 3b Instruct.

The current version of Shining Valiant 2 is trained on technical knowledge using [sequelbox/Celestia](https://huggingface.co/datasets/sequelbox/Celestia), complex reasoning using [sequelbox/Spurline](https://huggingface.co/datasets/sequelbox/Spurline), and general chat capability using [sequelbox/Supernova.](https://huggingface.co/datasets/sequelbox/Supernova)

We're super excited that Shining Valiant's dataset has been fully open-sourced! She's friendly, enthusiastic, insightful, knowledgeable, and loves to learn! Magical.


![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/63444f2687964b331809eb55/VCJ8Fmefd8cdVhXSSxJiD.jpeg)


Shining Valiant 2 is created by [Valiant Labs.](http://valiantlabs.ca/)

[Check out our HuggingFace page for our open-source Build Tools models, including the newest version of code-specialist Enigma!](https://huggingface.co/ValiantLabs)

[Follow us on X for updates on our models!](https://twitter.com/valiant_labs)

We care about open source.
For everyone to use.

We encourage others to finetune further from our models.