Text Generation
GGUF
English
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
llama-cpp
gguf-my-repo
Eval Results
Inference Endpoints
Triangle104
commited on
Commit
•
1ef0295
1
Parent(s):
351c17d
Upload README.md with huggingface_hub
Browse files
README.md
ADDED
@@ -0,0 +1,228 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
language:
|
3 |
+
- en
|
4 |
+
license: llama3.2
|
5 |
+
tags:
|
6 |
+
- shining-valiant
|
7 |
+
- shining-valiant-2
|
8 |
+
- valiant
|
9 |
+
- valiant-labs
|
10 |
+
- llama
|
11 |
+
- llama-3.2
|
12 |
+
- llama-3.2-instruct
|
13 |
+
- llama-3.2-instruct-3b
|
14 |
+
- llama-3
|
15 |
+
- llama-3-instruct
|
16 |
+
- llama-3-instruct-3b
|
17 |
+
- 3b
|
18 |
+
- science
|
19 |
+
- physics
|
20 |
+
- biology
|
21 |
+
- chemistry
|
22 |
+
- compsci
|
23 |
+
- computer-science
|
24 |
+
- engineering
|
25 |
+
- technical
|
26 |
+
- conversational
|
27 |
+
- chat
|
28 |
+
- instruct
|
29 |
+
- llama-cpp
|
30 |
+
- gguf-my-repo
|
31 |
+
base_model: ValiantLabs/Llama3.2-3B-ShiningValiant2
|
32 |
+
datasets:
|
33 |
+
- sequelbox/Celestia
|
34 |
+
- sequelbox/Spurline
|
35 |
+
- sequelbox/Supernova
|
36 |
+
pipeline_tag: text-generation
|
37 |
+
model_type: llama
|
38 |
+
model-index:
|
39 |
+
- name: Llama3.2-3B-ShiningValiant2
|
40 |
+
results:
|
41 |
+
- task:
|
42 |
+
type: text-generation
|
43 |
+
name: Text Generation
|
44 |
+
dataset:
|
45 |
+
name: Winogrande (5-shot)
|
46 |
+
type: winogrande
|
47 |
+
args:
|
48 |
+
num_few_shot: 5
|
49 |
+
metrics:
|
50 |
+
- type: acc
|
51 |
+
value: 69.14
|
52 |
+
name: acc
|
53 |
+
- task:
|
54 |
+
type: text-generation
|
55 |
+
name: Text Generation
|
56 |
+
dataset:
|
57 |
+
name: MMLU College Biology (5-shot)
|
58 |
+
type: mmlu
|
59 |
+
args:
|
60 |
+
num_few_shot: 5
|
61 |
+
metrics:
|
62 |
+
- type: acc
|
63 |
+
value: 64.58
|
64 |
+
name: acc
|
65 |
+
- type: acc
|
66 |
+
value: 70.32
|
67 |
+
name: acc
|
68 |
+
- type: acc
|
69 |
+
value: 44.0
|
70 |
+
name: acc
|
71 |
+
- type: acc
|
72 |
+
value: 50.25
|
73 |
+
name: acc
|
74 |
+
- type: acc
|
75 |
+
value: 42.16
|
76 |
+
name: acc
|
77 |
+
- type: acc
|
78 |
+
value: 35.76
|
79 |
+
name: acc
|
80 |
+
- type: acc
|
81 |
+
value: 53.19
|
82 |
+
name: acc
|
83 |
+
- type: acc
|
84 |
+
value: 53.0
|
85 |
+
name: acc
|
86 |
+
- type: acc
|
87 |
+
value: 61.0
|
88 |
+
name: acc
|
89 |
+
- type: acc
|
90 |
+
value: 60.53
|
91 |
+
name: acc
|
92 |
+
- task:
|
93 |
+
type: text-generation
|
94 |
+
name: Text Generation
|
95 |
+
dataset:
|
96 |
+
name: IFEval (0-Shot)
|
97 |
+
type: HuggingFaceH4/ifeval
|
98 |
+
args:
|
99 |
+
num_few_shot: 0
|
100 |
+
metrics:
|
101 |
+
- type: inst_level_strict_acc and prompt_level_strict_acc
|
102 |
+
value: 48.9
|
103 |
+
name: strict accuracy
|
104 |
+
source:
|
105 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-ShiningValiant2
|
106 |
+
name: Open LLM Leaderboard
|
107 |
+
- task:
|
108 |
+
type: text-generation
|
109 |
+
name: Text Generation
|
110 |
+
dataset:
|
111 |
+
name: BBH (3-Shot)
|
112 |
+
type: BBH
|
113 |
+
args:
|
114 |
+
num_few_shot: 3
|
115 |
+
metrics:
|
116 |
+
- type: acc_norm
|
117 |
+
value: 19.11
|
118 |
+
name: normalized accuracy
|
119 |
+
source:
|
120 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-ShiningValiant2
|
121 |
+
name: Open LLM Leaderboard
|
122 |
+
- task:
|
123 |
+
type: text-generation
|
124 |
+
name: Text Generation
|
125 |
+
dataset:
|
126 |
+
name: MATH Lvl 5 (4-Shot)
|
127 |
+
type: hendrycks/competition_math
|
128 |
+
args:
|
129 |
+
num_few_shot: 4
|
130 |
+
metrics:
|
131 |
+
- type: exact_match
|
132 |
+
value: 9.14
|
133 |
+
name: exact match
|
134 |
+
source:
|
135 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-ShiningValiant2
|
136 |
+
name: Open LLM Leaderboard
|
137 |
+
- task:
|
138 |
+
type: text-generation
|
139 |
+
name: Text Generation
|
140 |
+
dataset:
|
141 |
+
name: GPQA (0-shot)
|
142 |
+
type: Idavidrein/gpqa
|
143 |
+
args:
|
144 |
+
num_few_shot: 0
|
145 |
+
metrics:
|
146 |
+
- type: acc_norm
|
147 |
+
value: 3.02
|
148 |
+
name: acc_norm
|
149 |
+
source:
|
150 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-ShiningValiant2
|
151 |
+
name: Open LLM Leaderboard
|
152 |
+
- task:
|
153 |
+
type: text-generation
|
154 |
+
name: Text Generation
|
155 |
+
dataset:
|
156 |
+
name: MuSR (0-shot)
|
157 |
+
type: TAUR-Lab/MuSR
|
158 |
+
args:
|
159 |
+
num_few_shot: 0
|
160 |
+
metrics:
|
161 |
+
- type: acc_norm
|
162 |
+
value: 5.49
|
163 |
+
name: acc_norm
|
164 |
+
source:
|
165 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-ShiningValiant2
|
166 |
+
name: Open LLM Leaderboard
|
167 |
+
- task:
|
168 |
+
type: text-generation
|
169 |
+
name: Text Generation
|
170 |
+
dataset:
|
171 |
+
name: MMLU-PRO (5-shot)
|
172 |
+
type: TIGER-Lab/MMLU-Pro
|
173 |
+
config: main
|
174 |
+
split: test
|
175 |
+
args:
|
176 |
+
num_few_shot: 5
|
177 |
+
metrics:
|
178 |
+
- type: acc
|
179 |
+
value: 19.1
|
180 |
+
name: accuracy
|
181 |
+
source:
|
182 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-ShiningValiant2
|
183 |
+
name: Open LLM Leaderboard
|
184 |
+
---
|
185 |
+
|
186 |
+
# Triangle104/Llama3.2-3B-ShiningValiant2-Q5_K_S-GGUF
|
187 |
+
This model was converted to GGUF format from [`ValiantLabs/Llama3.2-3B-ShiningValiant2`](https://huggingface.co/ValiantLabs/Llama3.2-3B-ShiningValiant2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
|
188 |
+
Refer to the [original model card](https://huggingface.co/ValiantLabs/Llama3.2-3B-ShiningValiant2) for more details on the model.
|
189 |
+
|
190 |
+
## Use with llama.cpp
|
191 |
+
Install llama.cpp through brew (works on Mac and Linux)
|
192 |
+
|
193 |
+
```bash
|
194 |
+
brew install llama.cpp
|
195 |
+
|
196 |
+
```
|
197 |
+
Invoke the llama.cpp server or the CLI.
|
198 |
+
|
199 |
+
### CLI:
|
200 |
+
```bash
|
201 |
+
llama-cli --hf-repo Triangle104/Llama3.2-3B-ShiningValiant2-Q5_K_S-GGUF --hf-file llama3.2-3b-shiningvaliant2-q5_k_s.gguf -p "The meaning to life and the universe is"
|
202 |
+
```
|
203 |
+
|
204 |
+
### Server:
|
205 |
+
```bash
|
206 |
+
llama-server --hf-repo Triangle104/Llama3.2-3B-ShiningValiant2-Q5_K_S-GGUF --hf-file llama3.2-3b-shiningvaliant2-q5_k_s.gguf -c 2048
|
207 |
+
```
|
208 |
+
|
209 |
+
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.
|
210 |
+
|
211 |
+
Step 1: Clone llama.cpp from GitHub.
|
212 |
+
```
|
213 |
+
git clone https://github.com/ggerganov/llama.cpp
|
214 |
+
```
|
215 |
+
|
216 |
+
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).
|
217 |
+
```
|
218 |
+
cd llama.cpp && LLAMA_CURL=1 make
|
219 |
+
```
|
220 |
+
|
221 |
+
Step 3: Run inference through the main binary.
|
222 |
+
```
|
223 |
+
./llama-cli --hf-repo Triangle104/Llama3.2-3B-ShiningValiant2-Q5_K_S-GGUF --hf-file llama3.2-3b-shiningvaliant2-q5_k_s.gguf -p "The meaning to life and the universe is"
|
224 |
+
```
|
225 |
+
or
|
226 |
+
```
|
227 |
+
./llama-server --hf-repo Triangle104/Llama3.2-3B-ShiningValiant2-Q5_K_S-GGUF --hf-file llama3.2-3b-shiningvaliant2-q5_k_s.gguf -c 2048
|
228 |
+
```
|