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allknowingroger_-_Ph3task1-14B-gguf
RichardErkhov/allknowingroger_-_Ph3task1-14B-gguf
allknowingroger_-_Ph3task1-14B-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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- Access
- Public
- Created
- Oct 31, 2024
- Updated
- Oct 31, 2024
- SHA
- c68fb0cd
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
Ph3task1-14B - GGUF
- Model creator: https://huggingface.co/allknowingroger/
- Original model: https://huggingface.co/allknowingroger/Ph3task1-14B/
| Name | Quant method | Size |
|---|---|---|
| Ph3task1-14B.Q2_K.gguf | Q2_K | 4.79GB |
| Ph3task1-14B.Q3_K_S.gguf | Q3_K_S | 5.65GB |
| Ph3task1-14B.Q3_K.gguf | Q3_K | 6.45GB |
| Ph3task1-14B.Q3_K_M.gguf | Q3_K_M | 6.45GB |
| Ph3task1-14B.Q3_K_L.gguf | Q3_K_L | 6.98GB |
| Ph3task1-14B.IQ4_XS.gguf | IQ4_XS | 7.02GB |
| Ph3task1-14B.Q4_0.gguf | Q4_0 | 7.35GB |
| Ph3task1-14B.IQ4_NL.gguf | IQ4_NL | 7.41GB |
| Ph3task1-14B.Q4_K_S.gguf | Q4_K_S | 7.41GB |
| Ph3task1-14B.Q4_K.gguf | Q4_K | 7.98GB |
| Ph3task1-14B.Q4_K_M.gguf | Q4_K_M | 7.98GB |
| Ph3task1-14B.Q4_1.gguf | Q4_1 | 8.16GB |
| Ph3task1-14B.Q5_0.gguf | Q5_0 | 8.96GB |
| Ph3task1-14B.Q5_K_S.gguf | Q5_K_S | 4.6GB |
| Ph3task1-14B.Q5_K.gguf | Q5_K | 5.56GB |
| Ph3task1-14B.Q5_K_M.gguf | Q5_K_M | 2.43GB |
| Ph3task1-14B.Q5_1.gguf | Q5_1 | 9.76GB |
| Ph3task1-14B.Q6_K.gguf | Q6_K | 10.67GB |
| Ph3task1-14B.Q8_0.gguf | Q8_0 | 13.82GB |
Original model description:
license: apache-2.0 library_name: transformers tags:
- mergekit
- merge base_model:
- jpacifico/Chocolatine-14B-Instruct-4k-DPO
- jpacifico/Chocolatine-14B-Instruct-DPO-v1.2
- failspy/Phi-3-medium-4k-instruct-abliterated-v3 model-index:
- name: Ph3task1-14B
results:
- 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: 46.95 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Ph3task1-14B 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: 47.93 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Ph3task1-14B 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: 13.9 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Ph3task1-14B 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: 13.42 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Ph3task1-14B 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: 16.81 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Ph3task1-14B 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: 41.49 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Ph3task1-14B name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: IFEval (0-Shot)
type: HuggingFaceH4/ifeval
args:
num_few_shot: 0
metrics:
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the task arithmetic merge method using jpacifico/Chocolatine-14B-Instruct-DPO-v1.2 as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: jpacifico/Chocolatine-14B-Instruct-DPO-v1.2
parameters:
weight: 1.0
- model: failspy/Phi-3-medium-4k-instruct-abliterated-v3
parameters:
weight: 1.0
- model: jpacifico/Chocolatine-14B-Instruct-4k-DPO
parameters:
weight: 1.0
merge_method: task_arithmetic
base_model: jpacifico/Chocolatine-14B-Instruct-DPO-v1.2
parameters:
normalize: true
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 30.08 |
| IFEval (0-Shot) | 46.95 |
| BBH (3-Shot) | 47.93 |
| MATH Lvl 5 (4-Shot) | 13.90 |
| GPQA (0-shot) | 13.42 |
| MuSR (0-shot) | 16.81 |
| MMLU-PRO (5-shot) | 41.49 |
- Created
- Oct 31, 2024
- Updated
- Oct 31, 2024