You can deploy this model and start earning money today!

RichardErkhov/
gaverfraxz_-_Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES-gguf

Name: gaverfraxz_-_Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES-gguf
Availability: InStock

Views

No views yet

Quantization made by Richard Erkhov.

Github

Discord

Request more models

Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES - GGUF

Model creator: https://huggingface.co/gaverfraxz/
Original model: https://huggingface.co/gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES/

Name	Quant method	Size
Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES.Q2_K.gguf	Q2_K	2.96GB
Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES.IQ3_XS.gguf	IQ3_XS	3.28GB
Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES.IQ3_S.gguf	IQ3_S	3.43GB
Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES.Q3_K_S.gguf	Q3_K_S	3.41GB
Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES.IQ3_M.gguf	IQ3_M	3.52GB
Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES.Q3_K.gguf	Q3_K	3.74GB
Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES.Q3_K_M.gguf	Q3_K_M	3.74GB
Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES.Q3_K_L.gguf	Q3_K_L	4.03GB
Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES.IQ4_XS.gguf	IQ4_XS	4.18GB
Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES.Q4_0.gguf	Q4_0	4.34GB
Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES.IQ4_NL.gguf	IQ4_NL	4.38GB
Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES.Q4_K_S.gguf	Q4_K_S	4.37GB
Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES.Q4_K.gguf	Q4_K	4.58GB
Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES.Q4_K_M.gguf	Q4_K_M	4.58GB
Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES.Q4_1.gguf	Q4_1	4.78GB
Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES.Q5_0.gguf	Q5_0	5.21GB
Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES.Q5_K_S.gguf	Q5_K_S	5.21GB
Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES.Q5_K.gguf	Q5_K	5.34GB
Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES.Q5_K_M.gguf	Q5_K_M	5.34GB
Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES.Q5_1.gguf	Q5_1	5.65GB
Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES.Q6_K.gguf	Q6_K	6.14GB
Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES.Q8_0.gguf	Q8_0	7.95GB

Original model description:

license: llama3.1 library_name: transformers tags:

mergekit
merge base_model:
mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
meta-llama/Meta-Llama-3.1-8B
meta-llama/Meta-Llama-3.1-8B-Instruct model-index:
name: Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES 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: 45.51 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES 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: 28.91 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES 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: 11.63 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES 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: 2.24 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES 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: 6.59 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES 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: 29.76 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES name: Open LLM Leaderboard

Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the TIES merge method using meta-llama/Meta-Llama-3.1-8B as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

yaml

base_model: meta-llama/Meta-Llama-3.1-8B
chat_template: auto
dtype: float16
merge_method: ties
models:
- model: mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
  parameters:
    density: 0.5
    weight: 0.5
- model: meta-llama/Meta-Llama-3.1-8B-Instruct
  parameters:
    density: 0.5
    weight: 0.5
parameters:
  int8_mask: true
  normalize: false

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	20.77
IFEval (0-Shot)	45.51
BBH (3-Shot)	28.91
MATH Lvl 5 (4-Shot)	11.63
GPQA (0-shot)	2.24
MuSR (0-shot)	6.59
MMLU-PRO (5-shot)	29.76

RichardErkhov/gaverfraxz_-_Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES-gguf