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anthonym21/RemnantInstruct-8B-GGUF
RemnantInstruct-8B-GGUF is a machine learning model from anthonym21. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
GGUF quantizations of RemnantInstruct-8B, a SLERP merge combining instruction-following with creative writing capabilities.
Downloads · 30 days
130
32% of all-time downloads
All-time downloads
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.gguf19.6 GB · 100%
From the Hugging Face model README
GGUF quantizations of RemnantInstruct-8B, a SLERP merge combining instruction-following with creative writing capabilities.
Base Models:
Merge Method: SLERP (Spherical Linear Interpolation)
The merge uses a complementary interpolation strategy:
This approach preserves the base model's instruction-following while incorporating the creative writing capabilities of the remnant fine-tune.
| Quant | Size | Description |
|---|---|---|
| Q4_K_M | 4.7 GB | Balanced quality and size (recommended) |
| Q5_K_M | 5.5 GB | Better quality, slightly larger |
| Q8_0 | 8.2 GB | Highest quality quantization |
./llama-cli -m RemnantInstruct-8B-Q4_K_M.gguf -p "Write a story about..." -n 512
ollama run anthonym21/remnantinstruct-8b
Download any GGUF file and load it directly in LM Studio.
slices:
- sources:
- model: Qwen/Qwen3-8B
layer_range: [0, 36]
- model: allura-org/remnant-qwen3-8b
layer_range: [0, 36]
merge_method: slerp
base_model: Qwen/Qwen3-8B
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
Apache 2.0 (inherited from Qwen3-8B)