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djuna_-_L3.1-ForStHS-gguf
RichardErkhov/djuna_-_L3.1-ForStHS-gguf
djuna_-_L3.1-ForStHS-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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.gguf108 GB · 100%
At a glance
- Access
- Public
- Created
- Sep 30, 2024
- Updated
- Sep 30, 2024
- SHA
- 1c57383e
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
L3.1-ForStHS - GGUF
- Model creator: https://huggingface.co/djuna/
- Original model: https://huggingface.co/djuna/L3.1-ForStHS/
| Name | Quant method | Size |
|---|---|---|
| L3.1-ForStHS.Q2_K.gguf | Q2_K | 2.96GB |
| L3.1-ForStHS.IQ3_XS.gguf | IQ3_XS | 3.28GB |
| L3.1-ForStHS.IQ3_S.gguf | IQ3_S | 3.43GB |
| L3.1-ForStHS.Q3_K_S.gguf | Q3_K_S | 3.41GB |
| L3.1-ForStHS.IQ3_M.gguf | IQ3_M | 3.52GB |
| L3.1-ForStHS.Q3_K.gguf | Q3_K | 3.74GB |
| L3.1-ForStHS.Q3_K_M.gguf | Q3_K_M | 3.74GB |
| L3.1-ForStHS.Q3_K_L.gguf | Q3_K_L | 4.03GB |
| L3.1-ForStHS.IQ4_XS.gguf | IQ4_XS | 4.18GB |
| L3.1-ForStHS.Q4_0.gguf | Q4_0 | 4.34GB |
| L3.1-ForStHS.IQ4_NL.gguf | IQ4_NL | 4.38GB |
| L3.1-ForStHS.Q4_K_S.gguf | Q4_K_S | 4.37GB |
| L3.1-ForStHS.Q4_K.gguf | Q4_K | 4.58GB |
| L3.1-ForStHS.Q4_K_M.gguf | Q4_K_M | 4.58GB |
| L3.1-ForStHS.Q4_1.gguf | Q4_1 | 4.78GB |
| L3.1-ForStHS.Q5_0.gguf | Q5_0 | 5.21GB |
| L3.1-ForStHS.Q5_K_S.gguf | Q5_K_S | 5.21GB |
| L3.1-ForStHS.Q5_K.gguf | Q5_K | 5.34GB |
| L3.1-ForStHS.Q5_K_M.gguf | Q5_K_M | 5.34GB |
| L3.1-ForStHS.Q5_1.gguf | Q5_1 | 5.65GB |
| L3.1-ForStHS.Q6_K.gguf | Q6_K | 6.14GB |
| L3.1-ForStHS.Q8_0.gguf | Q8_0 | 7.95GB |
Original model description:
library_name: transformers tags:
- mergekit
- merge base_model:
- rityak/L3.1-FormaxGradient
- vicgalle/Configurable-Llama-3.1-8B-Instruct
- ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1
- grimjim/Llama-3-Instruct-abliteration-LoRA-8B
- DreadPoor/Heart_Stolen-8B-Model_Stock model-index:
- name: L3.1-ForStHS
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: 78.13 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/L3.1-ForStHS 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: 31.39 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/L3.1-ForStHS 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: 12.92 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/L3.1-ForStHS 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: 5.48 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/L3.1-ForStHS 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: 9.66 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/L3.1-ForStHS 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: 30.39 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/L3.1-ForStHS 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 Model Stock merge method using vicgalle/Configurable-Llama-3.1-8B-Instruct as a base.
Models Merged
The following models were included in the merge:
- rityak/L3.1-FormaxGradient
- ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1 + grimjim/Llama-3-Instruct-abliteration-LoRA-8B
- DreadPoor/Heart_Stolen-8B-Model_Stock
Configuration
The following YAML configuration was used to produce this model:
models:
- model: ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
- model: DreadPoor/Heart_Stolen-8B-Model_Stock
- model: rityak/L3.1-FormaxGradient
merge_method: model_stock
base_model: vicgalle/Configurable-Llama-3.1-8B-Instruct
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 28.00 |
| IFEval (0-Shot) | 78.13 |
| BBH (3-Shot) | 31.39 |
| MATH Lvl 5 (4-Shot) | 12.92 |
| GPQA (0-shot) | 5.48 |
| MuSR (0-shot) | 9.66 |
| MMLU-PRO (5-shot) | 30.39 |
- Created
- Sep 30, 2024
- Updated
- Sep 30, 2024