Quantization made by Richard Erkhov.
StableMedZephyr-Merged-3b - GGUF
- Model creator: https://huggingface.co/Heng666/
- Original model: https://huggingface.co/Heng666/StableMedZephyr-Merged-3b/
| Name | Quant method | Size |
|---|---|---|
| StableMedZephyr-Merged-3b.Q2_K.gguf | Q2_K | 1.01GB |
| StableMedZephyr-Merged-3b.Q3_K_S.gguf | Q3_K_S | 1.17GB |
| StableMedZephyr-Merged-3b.Q3_K.gguf | Q3_K | 1.3GB |
| StableMedZephyr-Merged-3b.Q3_K_M.gguf | Q3_K_M | 1.3GB |
| StableMedZephyr-Merged-3b.Q3_K_L.gguf | Q3_K_L | 1.4GB |
| StableMedZephyr-Merged-3b.IQ4_XS.gguf | IQ4_XS | 1.43GB |
| StableMedZephyr-Merged-3b.Q4_0.gguf | Q4_0 | 1.5GB |
| StableMedZephyr-Merged-3b.IQ4_NL.gguf | IQ4_NL | 1.51GB |
| StableMedZephyr-Merged-3b.Q4_K_S.gguf | Q4_K_S | 1.51GB |
| StableMedZephyr-Merged-3b.Q4_K.gguf | Q4_K | 1.59GB |
| StableMedZephyr-Merged-3b.Q4_K_M.gguf | Q4_K_M | 1.59GB |
| StableMedZephyr-Merged-3b.Q4_1.gguf | Q4_1 | 1.65GB |
| StableMedZephyr-Merged-3b.Q5_0.gguf | Q5_0 | 1.81GB |
| StableMedZephyr-Merged-3b.Q5_K_S.gguf | Q5_K_S | 1.81GB |
| StableMedZephyr-Merged-3b.Q5_K.gguf | Q5_K | 1.86GB |
| StableMedZephyr-Merged-3b.Q5_K_M.gguf | Q5_K_M | 1.86GB |
| StableMedZephyr-Merged-3b.Q5_1.gguf | Q5_1 | 1.96GB |
| StableMedZephyr-Merged-3b.Q6_K.gguf | Q6_K | 2.14GB |
| StableMedZephyr-Merged-3b.Q8_0.gguf | Q8_0 | 2.77GB |
Original model description:
license: other language: - en library_name: transformers pipeline_tag: text-generation tags: - causal-lm - text-generation-inference - merge
FOR EXPERIMENT
Description
stabilityai/stablelm-zephyr-3b, StableMed-3b merged with a new, experimental implementation of "dare ties" via mergekit. See:
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
Usage
StableLM Zephyr 3B uses the following instruction format:
<|user|>
List 3 synonyms for the word "tiny"<|endoftext|>
<|assistant|>
1. Dwarf
2. Little
3. Petite<|endoftext|>
Testing Notes
Merged in mergekit with the following config, and the tokenizer from chargoddard's Yi-Llama:
models:
- model: stabilityai/stablelm-zephyr-3b
# no parameters necessary for base model
- model: cxllin/StableMed-3b
parameters:
weight: 0.08
density: 0.5
merge_method: dare_ties
base_model: stabilityai/stablelm-zephyr-3b
parameters:
int8_mask: true
dtype: bfloat16