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ChaoticNeutrals_-_Domain-Fusion-L3-8B-gguf
RichardErkhov/ChaoticNeutrals_-_Domain-Fusion-L3-8B-gguf
ChaoticNeutrals_-_Domain-Fusion-L3-8B-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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.gguf108 GB · 100%
At a glance
- Access
- Public
- Created
- Aug 22, 2024
- Updated
- Aug 22, 2024
- SHA
- c22f6a36
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
Domain-Fusion-L3-8B - GGUF
- Model creator: https://huggingface.co/ChaoticNeutrals/
- Original model: https://huggingface.co/ChaoticNeutrals/Domain-Fusion-L3-8B/
| Name | Quant method | Size |
|---|---|---|
| Domain-Fusion-L3-8B.Q2_K.gguf | Q2_K | 2.96GB |
| Domain-Fusion-L3-8B.IQ3_XS.gguf | IQ3_XS | 3.28GB |
| Domain-Fusion-L3-8B.IQ3_S.gguf | IQ3_S | 3.43GB |
| Domain-Fusion-L3-8B.Q3_K_S.gguf | Q3_K_S | 3.41GB |
| Domain-Fusion-L3-8B.IQ3_M.gguf | IQ3_M | 3.52GB |
| Domain-Fusion-L3-8B.Q3_K.gguf | Q3_K | 3.74GB |
| Domain-Fusion-L3-8B.Q3_K_M.gguf | Q3_K_M | 3.74GB |
| Domain-Fusion-L3-8B.Q3_K_L.gguf | Q3_K_L | 4.03GB |
| Domain-Fusion-L3-8B.IQ4_XS.gguf | IQ4_XS | 4.18GB |
| Domain-Fusion-L3-8B.Q4_0.gguf | Q4_0 | 4.34GB |
| Domain-Fusion-L3-8B.IQ4_NL.gguf | IQ4_NL | 4.38GB |
| Domain-Fusion-L3-8B.Q4_K_S.gguf | Q4_K_S | 4.37GB |
| Domain-Fusion-L3-8B.Q4_K.gguf | Q4_K | 4.58GB |
| Domain-Fusion-L3-8B.Q4_K_M.gguf | Q4_K_M | 4.58GB |
| Domain-Fusion-L3-8B.Q4_1.gguf | Q4_1 | 4.78GB |
| Domain-Fusion-L3-8B.Q5_0.gguf | Q5_0 | 5.21GB |
| Domain-Fusion-L3-8B.Q5_K_S.gguf | Q5_K_S | 5.21GB |
| Domain-Fusion-L3-8B.Q5_K.gguf | Q5_K | 5.34GB |
| Domain-Fusion-L3-8B.Q5_K_M.gguf | Q5_K_M | 5.34GB |
| Domain-Fusion-L3-8B.Q5_1.gguf | Q5_1 | 5.65GB |
| Domain-Fusion-L3-8B.Q6_K.gguf | Q6_K | 6.14GB |
| Domain-Fusion-L3-8B.Q8_0.gguf | Q8_0 | 7.95GB |
Original model description:
base_model: [] library_name: transformers tags:
- mergekit
- merge license: other language:
- en
Domain-Fusion-L3-8B
Recomended ST Presets: Domain Fusion Presets
Models Merged
Lineage of internal models: Hathor 0.1 x Poppy_0.72 = Hathor_Variant-X (slerp) | T-900 x Biollm = T-900xBioLLM. (slerp)
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: ./Hathor_Variant-X
layer_range: [0, 32]
- model: ./T-900xBioLLM
layer_range: [0, 32]
merge_method: slerp
base_model: ./Hathor_Variant-X
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
- Created
- Aug 22, 2024
- Updated
- Aug 22, 2024