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v000000_-_L3.1-Sthenorm-8B-gguf
RichardErkhov/v000000_-_L3.1-Sthenorm-8B-gguf
v000000_-_L3.1-Sthenorm-8B-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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1.9K
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Repo size
92.9 GB
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0
Public
Repo makeup
Click a slice to open those files.
.gguf108 GB · 100%
At a glance
- Access
- Public
- Created
- Sep 22, 2024
- Updated
- Sep 22, 2024
- SHA
- 4027c6d7
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
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:
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:
<|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|>
- Created
- Sep 22, 2024
- Updated
- Sep 22, 2024