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DreadPoor_-_Aspire-8B-model_stock-gguf
RichardErkhov/DreadPoor_-_Aspire-8B-model_stock-gguf
DreadPoor_-_Aspire-8B-model_stock-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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.gguf106 GB · 100%
At a glance
- Access
- Public
- Created
- Oct 6, 2024
- Updated
- Oct 6, 2024
- SHA
- 4e6a9a14
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
Aspire-8B-model_stock - GGUF
- Model creator: https://huggingface.co/DreadPoor/
- Original model: https://huggingface.co/DreadPoor/Aspire-8B-model_stock/
| Name | Quant method | Size |
|---|---|---|
| Aspire-8B-model_stock.Q2_K.gguf | Q2_K | 2.96GB |
| Aspire-8B-model_stock.IQ3_XS.gguf | IQ3_XS | 3.28GB |
| Aspire-8B-model_stock.IQ3_S.gguf | IQ3_S | 3.43GB |
| Aspire-8B-model_stock.Q3_K_S.gguf | Q3_K_S | 3.41GB |
| Aspire-8B-model_stock.IQ3_M.gguf | IQ3_M | 3.52GB |
| Aspire-8B-model_stock.Q3_K.gguf | Q3_K | 3.74GB |
| Aspire-8B-model_stock.Q3_K_M.gguf | Q3_K_M | 3.74GB |
| Aspire-8B-model_stock.Q3_K_L.gguf | Q3_K_L | 4.03GB |
| Aspire-8B-model_stock.IQ4_XS.gguf | IQ4_XS | 4.18GB |
| Aspire-8B-model_stock.Q4_0.gguf | Q4_0 | 4.34GB |
| Aspire-8B-model_stock.IQ4_NL.gguf | IQ4_NL | 4.38GB |
| Aspire-8B-model_stock.Q4_K_S.gguf | Q4_K_S | 4.37GB |
| Aspire-8B-model_stock.Q4_K.gguf | Q4_K | 4.58GB |
| Aspire-8B-model_stock.Q4_K_M.gguf | Q4_K_M | 4.58GB |
| Aspire-8B-model_stock.Q4_1.gguf | Q4_1 | 4.78GB |
| Aspire-8B-model_stock.Q5_0.gguf | Q5_0 | 5.21GB |
| Aspire-8B-model_stock.Q5_K_S.gguf | Q5_K_S | 5.21GB |
| Aspire-8B-model_stock.Q5_K.gguf | Q5_K | 5.34GB |
| Aspire-8B-model_stock.Q5_K_M.gguf | Q5_K_M | 3.97GB |
| Aspire-8B-model_stock.Q5_1.gguf | Q5_1 | 5.65GB |
| Aspire-8B-model_stock.Q6_K.gguf | Q6_K | 6.14GB |
| Aspire-8B-model_stock.Q8_0.gguf | Q8_0 | 7.95GB |
Original model description:
license: apache-2.0 library_name: transformers tags:
- mergekit
- merge base_model:
- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
- kloodia/lora-8b-bio
- ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1
- Blackroot/Llama-3-8B-Abomination-LORA
- Sao10K/L3-8B-Stheno-v3.2
- grimjim/Llama-3-Instruct-abliteration-LoRA-8B
- arcee-ai/Llama-3.1-SuperNova-Lite
- grimjim/Llama-3-Instruct-abliteration-LoRA-8B
- mlabonne/Hermes-3-Llama-3.1-8B-lorablated
- kloodia/lora-8b-physic
- aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored
- kloodia/lora-8b-medic model-index:
- name: Aspire-8B-model_stock
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: 71.41 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Aspire-8B-model_stock 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: 32.53 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Aspire-8B-model_stock 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: 12.99 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Aspire-8B-model_stock 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: 8.61 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Aspire-8B-model_stock 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: 13.46 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Aspire-8B-model_stock 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: 30.7 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Aspire-8B-model_stock 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 Sao10K/L3-8B-Stheno-v3.2 + grimjim/Llama-3-Instruct-abliteration-LoRA-8B as a base.
Models Merged
The following models were included in the merge:
- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2 + kloodia/lora-8b-bio
- ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1 + Blackroot/Llama-3-8B-Abomination-LORA
- arcee-ai/Llama-3.1-SuperNova-Lite + grimjim/Llama-3-Instruct-abliteration-LoRA-8B
- mlabonne/Hermes-3-Llama-3.1-8B-lorablated + kloodia/lora-8b-physic
- aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored + kloodia/lora-8b-medic
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2+kloodia/lora-8b-bio
- model: arcee-ai/Llama-3.1-SuperNova-Lite+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
- model: mlabonne/Hermes-3-Llama-3.1-8B-lorablated+kloodia/lora-8b-physic
- model: aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored+kloodia/lora-8b-medic
- model: ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1+Blackroot/Llama-3-8B-Abomination-LORA
merge_method: model_stock
base_model: Sao10K/L3-8B-Stheno-v3.2+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
normalize: false
int8_mask: true
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 28.28 |
| IFEval (0-Shot) | 71.41 |
| BBH (3-Shot) | 32.53 |
| MATH Lvl 5 (4-Shot) | 12.99 |
| GPQA (0-shot) | 8.61 |
| MuSR (0-shot) | 13.46 |
| MMLU-PRO (5-shot) | 30.70 |
- Created
- Oct 6, 2024
- Updated
- Oct 6, 2024