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- Qwen2.5-14B-Gutenberg-1e-Delta-Q2_K.gguf +3 -0
- Qwen2.5-14B-Gutenberg-1e-Delta-Q3_K_L.gguf +3 -0
- Qwen2.5-14B-Gutenberg-1e-Delta-Q3_K_M.gguf +3 -0
- Qwen2.5-14B-Gutenberg-1e-Delta-Q3_K_S.gguf +3 -0
- Qwen2.5-14B-Gutenberg-1e-Delta-Q4_0.gguf +3 -0
- Qwen2.5-14B-Gutenberg-1e-Delta-Q4_K_M.gguf +3 -0
- Qwen2.5-14B-Gutenberg-1e-Delta-Q4_K_S.gguf +3 -0
- Qwen2.5-14B-Gutenberg-1e-Delta-Q5_0.gguf +3 -0
- Qwen2.5-14B-Gutenberg-1e-Delta-Q5_K_M.gguf +3 -0
- Qwen2.5-14B-Gutenberg-1e-Delta-Q5_K_S.gguf +3 -0
- Qwen2.5-14B-Gutenberg-1e-Delta-Q6_K.gguf +3 -0
- Qwen2.5-14B-Gutenberg-1e-Delta-Q8_0.gguf +3 -0
- README.md +178 -0
.gitattributes
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README.md
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---
|
2 |
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license: apache-2.0
|
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library_name: transformers
|
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tags:
|
5 |
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- qwen2
|
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- qwen2.5
|
7 |
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- dpo
|
8 |
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- chat
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- conversational
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- finetune
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- TensorBlock
|
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- GGUF
|
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base_model: v000000/Qwen2.5-14B-Gutenberg-1e-Delta
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datasets:
|
15 |
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- jondurbin/gutenberg-dpo-v0.1
|
16 |
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model-index:
|
17 |
+
- name: Qwen2.5-14B-Gutenberg-1e-Delta
|
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+
results:
|
19 |
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- task:
|
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type: text-generation
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name: Text Generation
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dataset:
|
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name: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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args:
|
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num_few_shot: 0
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metrics:
|
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- type: inst_level_strict_acc and prompt_level_strict_acc
|
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value: 80.45
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name: strict accuracy
|
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source:
|
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-1e-Delta
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name: Open LLM Leaderboard
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34 |
+
- task:
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type: text-generation
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name: Text Generation
|
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dataset:
|
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name: BBH (3-Shot)
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type: BBH
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args:
|
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num_few_shot: 3
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metrics:
|
43 |
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- type: acc_norm
|
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value: 48.62
|
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+
name: normalized accuracy
|
46 |
+
source:
|
47 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-1e-Delta
|
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name: Open LLM Leaderboard
|
49 |
+
- task:
|
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type: text-generation
|
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name: Text Generation
|
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dataset:
|
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name: MATH Lvl 5 (4-Shot)
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type: hendrycks/competition_math
|
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args:
|
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num_few_shot: 4
|
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metrics:
|
58 |
+
- type: exact_match
|
59 |
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value: 0.0
|
60 |
+
name: exact match
|
61 |
+
source:
|
62 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-1e-Delta
|
63 |
+
name: Open LLM Leaderboard
|
64 |
+
- task:
|
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type: text-generation
|
66 |
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name: Text Generation
|
67 |
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dataset:
|
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name: GPQA (0-shot)
|
69 |
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type: Idavidrein/gpqa
|
70 |
+
args:
|
71 |
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num_few_shot: 0
|
72 |
+
metrics:
|
73 |
+
- type: acc_norm
|
74 |
+
value: 10.51
|
75 |
+
name: acc_norm
|
76 |
+
source:
|
77 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-1e-Delta
|
78 |
+
name: Open LLM Leaderboard
|
79 |
+
- task:
|
80 |
+
type: text-generation
|
81 |
+
name: Text Generation
|
82 |
+
dataset:
|
83 |
+
name: MuSR (0-shot)
|
84 |
+
type: TAUR-Lab/MuSR
|
85 |
+
args:
|
86 |
+
num_few_shot: 0
|
87 |
+
metrics:
|
88 |
+
- type: acc_norm
|
89 |
+
value: 9.38
|
90 |
+
name: acc_norm
|
91 |
+
source:
|
92 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-1e-Delta
|
93 |
+
name: Open LLM Leaderboard
|
94 |
+
- task:
|
95 |
+
type: text-generation
|
96 |
+
name: Text Generation
|
97 |
+
dataset:
|
98 |
+
name: MMLU-PRO (5-shot)
|
99 |
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type: TIGER-Lab/MMLU-Pro
|
100 |
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config: main
|
101 |
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split: test
|
102 |
+
args:
|
103 |
+
num_few_shot: 5
|
104 |
+
metrics:
|
105 |
+
- type: acc
|
106 |
+
value: 43.67
|
107 |
+
name: accuracy
|
108 |
+
source:
|
109 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-1e-Delta
|
110 |
+
name: Open LLM Leaderboard
|
111 |
+
---
|
112 |
+
|
113 |
+
<div style="width: auto; margin-left: auto; margin-right: auto">
|
114 |
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<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
|
115 |
+
</div>
|
116 |
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<div style="display: flex; justify-content: space-between; width: 100%;">
|
117 |
+
<div style="display: flex; flex-direction: column; align-items: flex-start;">
|
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<p style="margin-top: 0.5em; margin-bottom: 0em;">
|
119 |
+
Feedback and support: TensorBlock's <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
|
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+
</p>
|
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+
</div>
|
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</div>
|
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+
|
124 |
+
## v000000/Qwen2.5-14B-Gutenberg-1e-Delta - GGUF
|
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|
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This repo contains GGUF format model files for [v000000/Qwen2.5-14B-Gutenberg-1e-Delta](https://huggingface.co/v000000/Qwen2.5-14B-Gutenberg-1e-Delta).
|
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+
|
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The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
|
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|
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## Prompt template
|
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+
|
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+
```
|
133 |
+
<|im_start|>system
|
134 |
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{system_prompt}<|im_end|>
|
135 |
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<|im_start|>user
|
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{prompt}<|im_end|>
|
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<|im_start|>assistant
|
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```
|
139 |
+
|
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## Model file specification
|
141 |
+
|
142 |
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| Filename | Quant type | File Size | Description |
|
143 |
+
| -------- | ---------- | --------- | ----------- |
|
144 |
+
| [Qwen2.5-14B-Gutenberg-1e-Delta-Q2_K.gguf](https://huggingface.co/tensorblock/Qwen2.5-14B-Gutenberg-1e-Delta-GGUF/tree/main/Qwen2.5-14B-Gutenberg-1e-Delta-Q2_K.gguf) | Q2_K | 5.374 GB | smallest, significant quality loss - not recommended for most purposes |
|
145 |
+
| [Qwen2.5-14B-Gutenberg-1e-Delta-Q3_K_S.gguf](https://huggingface.co/tensorblock/Qwen2.5-14B-Gutenberg-1e-Delta-GGUF/tree/main/Qwen2.5-14B-Gutenberg-1e-Delta-Q3_K_S.gguf) | Q3_K_S | 6.202 GB | very small, high quality loss |
|
146 |
+
| [Qwen2.5-14B-Gutenberg-1e-Delta-Q3_K_M.gguf](https://huggingface.co/tensorblock/Qwen2.5-14B-Gutenberg-1e-Delta-GGUF/tree/main/Qwen2.5-14B-Gutenberg-1e-Delta-Q3_K_M.gguf) | Q3_K_M | 6.835 GB | very small, high quality loss |
|
147 |
+
| [Qwen2.5-14B-Gutenberg-1e-Delta-Q3_K_L.gguf](https://huggingface.co/tensorblock/Qwen2.5-14B-Gutenberg-1e-Delta-GGUF/tree/main/Qwen2.5-14B-Gutenberg-1e-Delta-Q3_K_L.gguf) | Q3_K_L | 7.381 GB | small, substantial quality loss |
|
148 |
+
| [Qwen2.5-14B-Gutenberg-1e-Delta-Q4_0.gguf](https://huggingface.co/tensorblock/Qwen2.5-14B-Gutenberg-1e-Delta-GGUF/tree/main/Qwen2.5-14B-Gutenberg-1e-Delta-Q4_0.gguf) | Q4_0 | 7.933 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
|
149 |
+
| [Qwen2.5-14B-Gutenberg-1e-Delta-Q4_K_S.gguf](https://huggingface.co/tensorblock/Qwen2.5-14B-Gutenberg-1e-Delta-GGUF/tree/main/Qwen2.5-14B-Gutenberg-1e-Delta-Q4_K_S.gguf) | Q4_K_S | 7.985 GB | small, greater quality loss |
|
150 |
+
| [Qwen2.5-14B-Gutenberg-1e-Delta-Q4_K_M.gguf](https://huggingface.co/tensorblock/Qwen2.5-14B-Gutenberg-1e-Delta-GGUF/tree/main/Qwen2.5-14B-Gutenberg-1e-Delta-Q4_K_M.gguf) | Q4_K_M | 8.371 GB | medium, balanced quality - recommended |
|
151 |
+
| [Qwen2.5-14B-Gutenberg-1e-Delta-Q5_0.gguf](https://huggingface.co/tensorblock/Qwen2.5-14B-Gutenberg-1e-Delta-GGUF/tree/main/Qwen2.5-14B-Gutenberg-1e-Delta-Q5_0.gguf) | Q5_0 | 9.561 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
|
152 |
+
| [Qwen2.5-14B-Gutenberg-1e-Delta-Q5_K_S.gguf](https://huggingface.co/tensorblock/Qwen2.5-14B-Gutenberg-1e-Delta-GGUF/tree/main/Qwen2.5-14B-Gutenberg-1e-Delta-Q5_K_S.gguf) | Q5_K_S | 9.561 GB | large, low quality loss - recommended |
|
153 |
+
| [Qwen2.5-14B-Gutenberg-1e-Delta-Q5_K_M.gguf](https://huggingface.co/tensorblock/Qwen2.5-14B-Gutenberg-1e-Delta-GGUF/tree/main/Qwen2.5-14B-Gutenberg-1e-Delta-Q5_K_M.gguf) | Q5_K_M | 9.787 GB | large, very low quality loss - recommended |
|
154 |
+
| [Qwen2.5-14B-Gutenberg-1e-Delta-Q6_K.gguf](https://huggingface.co/tensorblock/Qwen2.5-14B-Gutenberg-1e-Delta-GGUF/tree/main/Qwen2.5-14B-Gutenberg-1e-Delta-Q6_K.gguf) | Q6_K | 11.292 GB | very large, extremely low quality loss |
|
155 |
+
| [Qwen2.5-14B-Gutenberg-1e-Delta-Q8_0.gguf](https://huggingface.co/tensorblock/Qwen2.5-14B-Gutenberg-1e-Delta-GGUF/tree/main/Qwen2.5-14B-Gutenberg-1e-Delta-Q8_0.gguf) | Q8_0 | 14.623 GB | very large, extremely low quality loss - not recommended |
|
156 |
+
|
157 |
+
|
158 |
+
## Downloading instruction
|
159 |
+
|
160 |
+
### Command line
|
161 |
+
|
162 |
+
Firstly, install Huggingface Client
|
163 |
+
|
164 |
+
```shell
|
165 |
+
pip install -U "huggingface_hub[cli]"
|
166 |
+
```
|
167 |
+
|
168 |
+
Then, downoad the individual model file the a local directory
|
169 |
+
|
170 |
+
```shell
|
171 |
+
huggingface-cli download tensorblock/Qwen2.5-14B-Gutenberg-1e-Delta-GGUF --include "Qwen2.5-14B-Gutenberg-1e-Delta-Q2_K.gguf" --local-dir MY_LOCAL_DIR
|
172 |
+
```
|
173 |
+
|
174 |
+
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
|
175 |
+
|
176 |
+
```shell
|
177 |
+
huggingface-cli download tensorblock/Qwen2.5-14B-Gutenberg-1e-Delta-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
|
178 |
+
```
|