Hugging Face's logo

RichardErkhov
/
RyanYr_-_self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4-gguf

GGUF
conversational
Model card Files
xet
Community
RichardErkhov commited on
Commit
60d34a1
·
verified ·
1 Parent(s): bbe8a6a

uploaded readme

Browse files
Files changed (1) hide show
  1. README.md +98 -0
README.md ADDED
@@ -0,0 +1,98 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Quantization made by Richard Erkhov.
2
+
3
+ [Github](https://github.com/RichardErkhov)
4
+
5
+ [Discord](https://discord.gg/pvy7H8DZMG)
6
+
7
+ [Request more models](https://github.com/RichardErkhov/quant_request)
8
+
9
+
10
+ self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4 - GGUF
11
+ - Model creator: https://huggingface.co/RyanYr/
12
+ - Original model: https://huggingface.co/RyanYr/self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4/
13
+
14
+
15
+ | Name | Quant method | Size |
16
+ | ---- | ---- | ---- |
17
+ | [self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q2_K.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q2_K.gguf) | Q2_K | 1.39GB |
18
+ | [self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q3_K_S.gguf) | Q3_K_S | 1.59GB |
19
+ | [self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q3_K.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q3_K.gguf) | Q3_K | 1.73GB |
20
+ | [self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q3_K_M.gguf) | Q3_K_M | 1.73GB |
21
+ | [self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q3_K_L.gguf) | Q3_K_L | 1.85GB |
22
+ | [self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.IQ4_XS.gguf) | IQ4_XS | 1.91GB |
23
+ | [self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q4_0.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q4_0.gguf) | Q4_0 | 1.99GB |
24
+ | [self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.IQ4_NL.gguf) | IQ4_NL | 2.0GB |
25
+ | [self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q4_K_S.gguf) | Q4_K_S | 2.0GB |
26
+ | [self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q4_K.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q4_K.gguf) | Q4_K | 2.09GB |
27
+ | [self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q4_K_M.gguf) | Q4_K_M | 2.09GB |
28
+ | [self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q4_1.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q4_1.gguf) | Q4_1 | 2.18GB |
29
+ | [self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q5_0.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q5_0.gguf) | Q5_0 | 2.37GB |
30
+ | [self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q5_K_S.gguf) | Q5_K_S | 2.37GB |
31
+ | [self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q5_K.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q5_K.gguf) | Q5_K | 2.41GB |
32
+ | [self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q5_K_M.gguf) | Q5_K_M | 2.41GB |
33
+ | [self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q5_1.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q5_1.gguf) | Q5_1 | 2.55GB |
34
+ | [self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q6_K.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q6_K.gguf) | Q6_K | 2.76GB |
35
+ | [self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q8_0.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4.Q8_0.gguf) | Q8_0 | 3.58GB |
36
+
37
+
38
+
39
+
40
+ Original model description:
41
+ ---
42
+ base_model: meta-llama/Llama-3.2-3B-Instruct
43
+ library_name: transformers
44
+ model_name: self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4
45
+ tags:
46
+ - generated_from_trainer
47
+ - trl
48
+ - sft
49
+ licence: license
50
+ ---
51
+
52
+ # Model Card for self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4
53
+
54
+ This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct).
55
+ It has been trained using [TRL](https://github.com/huggingface/trl).
56
+
57
+ ## Quick start
58
+
59
+ ```python
60
+ from transformers import pipeline
61
+
62
+ question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
63
+ generator = pipeline("text-generation", model="RyanYr/self-correct_Llama-3.2-3B-Instruct_MATH_bon_iter4", device="cuda")
64
+ output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
65
+ print(output["generated_text"])
66
+ ```
67
+
68
+ ## Training procedure
69
+
70
+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/yyr/huggingface/runs/q6xnkz0w)
71
+
72
+ This model was trained with SFT.
73
+
74
+ ### Framework versions
75
+
76
+ - TRL: 0.12.0.dev0
77
+ - Transformers: 4.45.2
78
+ - Pytorch: 2.4.0
79
+ - Datasets: 3.0.1
80
+ - Tokenizers: 0.20.1
81
+
82
+ ## Citations
83
+
84
+
85
+
86
+ Cite TRL as:
87
+
88
+ ```bibtex
89
+ @misc{vonwerra2022trl,
90
+ title = {{TRL: Transformer Reinforcement Learning}},
91
+ author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
92
+ year = 2020,
93
+ journal = {GitHub repository},
94
+ publisher = {GitHub},
95
+ howpublished = {\url{https://github.com/huggingface/trl}}
96
+ }
97
+ ```
98
+