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Browse files- Qwen2-7B-Instruct-abliterated-Q2_K.gguf +2 -2
- Qwen2-7B-Instruct-abliterated-Q3_K_L.gguf +2 -2
- Qwen2-7B-Instruct-abliterated-Q3_K_M.gguf +2 -2
- Qwen2-7B-Instruct-abliterated-Q3_K_S.gguf +2 -2
- Qwen2-7B-Instruct-abliterated-Q4_0.gguf +2 -2
- Qwen2-7B-Instruct-abliterated-Q4_K_M.gguf +2 -2
- Qwen2-7B-Instruct-abliterated-Q4_K_S.gguf +2 -2
- Qwen2-7B-Instruct-abliterated-Q5_0.gguf +2 -2
- Qwen2-7B-Instruct-abliterated-Q5_K_M.gguf +2 -2
- Qwen2-7B-Instruct-abliterated-Q5_K_S.gguf +2 -2
- Qwen2-7B-Instruct-abliterated-Q6_K.gguf +2 -2
- Qwen2-7B-Instruct-abliterated-Q8_0.gguf +2 -2
- README.md +100 -8
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README.md
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---
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-
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language:
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- en
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pipeline_tag: text-generation
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tags:
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-
-
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- TensorBlock
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- GGUF
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base_model:
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---
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<div style="width: auto; margin-left: auto; margin-right: auto">
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@@ -21,9 +113,9 @@ base_model: natong19/Qwen2-7B-Instruct-abliterated
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</div>
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</div>
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-
##
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-
This repo contains GGUF format model files for [
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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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library_name: transformers
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tags:
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- uncensored
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- TensorBlock
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- GGUF
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base_model: informatiker/Qwen2-7B-Instruct-abliterated
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model-index:
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- name: Qwen2-7B-Instruct-abliterated
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+
results:
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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: 58.22
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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=informatiker/Qwen2-7B-Instruct-abliterated
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+
name: Open LLM Leaderboard
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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: 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:
|
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+
- type: acc_norm
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+
value: 37.8
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+
name: normalized accuracy
|
38 |
+
source:
|
39 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=informatiker/Qwen2-7B-Instruct-abliterated
|
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+
name: Open LLM Leaderboard
|
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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: 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:
|
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+
- type: exact_match
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+
value: 8.38
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+
name: exact match
|
53 |
+
source:
|
54 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=informatiker/Qwen2-7B-Instruct-abliterated
|
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+
name: Open LLM Leaderboard
|
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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: GPQA (0-shot)
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+
type: Idavidrein/gpqa
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+
args:
|
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+
num_few_shot: 0
|
64 |
+
metrics:
|
65 |
+
- type: acc_norm
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+
value: 6.82
|
67 |
+
name: acc_norm
|
68 |
+
source:
|
69 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=informatiker/Qwen2-7B-Instruct-abliterated
|
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+
name: Open LLM Leaderboard
|
71 |
+
- task:
|
72 |
+
type: text-generation
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73 |
+
name: Text Generation
|
74 |
+
dataset:
|
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+
name: MuSR (0-shot)
|
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+
type: TAUR-Lab/MuSR
|
77 |
+
args:
|
78 |
+
num_few_shot: 0
|
79 |
+
metrics:
|
80 |
+
- type: acc_norm
|
81 |
+
value: 6.83
|
82 |
+
name: acc_norm
|
83 |
+
source:
|
84 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=informatiker/Qwen2-7B-Instruct-abliterated
|
85 |
+
name: Open LLM Leaderboard
|
86 |
+
- task:
|
87 |
+
type: text-generation
|
88 |
+
name: Text Generation
|
89 |
+
dataset:
|
90 |
+
name: MMLU-PRO (5-shot)
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+
type: TIGER-Lab/MMLU-Pro
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+
config: main
|
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+
split: test
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94 |
+
args:
|
95 |
+
num_few_shot: 5
|
96 |
+
metrics:
|
97 |
+
- type: acc
|
98 |
+
value: 31.92
|
99 |
+
name: accuracy
|
100 |
+
source:
|
101 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=informatiker/Qwen2-7B-Instruct-abliterated
|
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+
name: Open LLM Leaderboard
|
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---
|
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<div style="width: auto; margin-left: auto; margin-right: auto">
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</div>
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</div>
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+
## informatiker/Qwen2-7B-Instruct-abliterated - GGUF
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+
This repo contains GGUF format model files for [informatiker/Qwen2-7B-Instruct-abliterated](https://huggingface.co/informatiker/Qwen2-7B-Instruct-abliterated).
|
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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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|