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RichardErkhov/
v000000_-_L3.1-Sthenorm-8B-gguf

Name: v000000_-_L3.1-Sthenorm-8B-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

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L3.1-Sthenorm-8B - GGUF

Model creator: https://huggingface.co/v000000/
Original model: https://huggingface.co/v000000/L3.1-Sthenorm-8B/

Name	Quant method	Size
L3.1-Sthenorm-8B.Q2_K.gguf	Q2_K	2.96GB
L3.1-Sthenorm-8B.IQ3_XS.gguf	IQ3_XS	3.28GB
L3.1-Sthenorm-8B.IQ3_S.gguf	IQ3_S	3.43GB
L3.1-Sthenorm-8B.Q3_K_S.gguf	Q3_K_S	3.41GB
L3.1-Sthenorm-8B.IQ3_M.gguf	IQ3_M	3.52GB
L3.1-Sthenorm-8B.Q3_K.gguf	Q3_K	3.74GB
L3.1-Sthenorm-8B.Q3_K_M.gguf	Q3_K_M	3.74GB
L3.1-Sthenorm-8B.Q3_K_L.gguf	Q3_K_L	4.03GB
L3.1-Sthenorm-8B.IQ4_XS.gguf	IQ4_XS	4.18GB
L3.1-Sthenorm-8B.Q4_0.gguf	Q4_0	4.34GB
L3.1-Sthenorm-8B.IQ4_NL.gguf	IQ4_NL	4.38GB
L3.1-Sthenorm-8B.Q4_K_S.gguf	Q4_K_S	4.37GB
L3.1-Sthenorm-8B.Q4_K.gguf	Q4_K	4.58GB
L3.1-Sthenorm-8B.Q4_K_M.gguf	Q4_K_M	4.58GB
L3.1-Sthenorm-8B.Q4_1.gguf	Q4_1	4.78GB
L3.1-Sthenorm-8B.Q5_0.gguf	Q5_0	5.21GB
L3.1-Sthenorm-8B.Q5_K_S.gguf	Q5_K_S	5.21GB
L3.1-Sthenorm-8B.Q5_K.gguf	Q5_K	5.34GB
L3.1-Sthenorm-8B.Q5_K_M.gguf	Q5_K_M	5.34GB
L3.1-Sthenorm-8B.Q5_1.gguf	Q5_1	5.65GB
L3.1-Sthenorm-8B.Q6_K.gguf	Q6_K	6.14GB
L3.1-Sthenorm-8B.Q8_0.gguf	Q8_0	7.95GB

Original model description:

base_model:

v000000/Llama-3.1-8B-Stheno-v3.4-abliterated
akjindal53244/Llama-3.1-Storm-8B
Sao10K/Llama-3.1-8B-Stheno-v3.4 library_name: transformers tags:
mergekit
merge
llama

Llama-3.1-Sthenorm-8B

RP model, Stheno3.4 with one of the smartest 3.1 models, half abliterated.

Thanks mradermacher for the quants:

merge

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

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

yaml

slices:
  - sources:
      - model: v000000/Llama-3.1-8B-Stheno-v3.4-abliterated
        layer_range: [0, 32]
      - model: akjindal53244/Llama-3.1-Storm-8B
        layer_range: [0, 32]
merge_method: slerp
base_model: v000000/Llama-3.1-8B-Stheno-v3.4-abliterated
parameters:
  t:
    - filter: self_attn
      value: [0.1, 0.6, 0.3, 0.8, 0.5]
    - filter: mlp
      value: [0.9, 0.4, 0.7, 0.2, 0.5]
    - value: 0.5
dtype: float32

Prompt Template:

bash

<|begin_of_text|><|start_header_id|>system<|end_header_id|>

{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>

{input}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

{output}<|eot_id|>

RichardErkhov/v000000_-_L3.1-Sthenorm-8B-gguf