base_model: ubitech-edg/commandr-35b-cpt-sft
datasets:
- arxiv
- gov
- news
- wikipedia
- axolotl_deduplicated_synthetic_qa
language:
- en
library_name: transformers
license: apache-2.0
model_name: commandr-35b-cpt-sft
model_type: AutoModelForCausalLM
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- text-generation
- causal-lm
- two-stage-training
- continual-pretraining
- supervised-fine-tuning
- synthetic-qa
- lora
- axolotl
- deepspeed
- transformers
- commandr
- cohere
- eu-hpc
About
weighted/imatrix quants of https://huggingface.co/ubitech-edg/commandr-35b-cpt-sft
For a convenient overview and download list, visit our model page for this model.
static quants are available at https://huggingface.co/mradermacher/commandr-35b-cpt-sft-GGUF
Usage
If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.
Provided Quants
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|---|---|---|---|
| GGUF | imatrix | 0.1 | imatrix file (for creating your own qwuants) |
| GGUF | i1-IQ1_S | 8.6 | for the desperate |
| GGUF | i1-IQ1_M | 9.2 | mostly desperate |
| GGUF | i1-IQ2_XXS | 10.3 | |
| GGUF | i1-IQ2_XS | 11.2 | |
| GGUF | i1-IQ2_S | 11.9 | |
| GGUF | i1-IQ2_M | 12.8 | |
| GGUF | i1-Q2_K_S | 12.8 | very low quality |
| GGUF | i1-Q2_K | 13.9 | IQ3_XXS probably better |
| GGUF | i1-IQ3_XXS | 13.9 | lower quality |
| GGUF | i1-Q3_K_S | 16.0 | IQ3_XS probably better |
| GGUF | i1-IQ3_M | 16.8 | |
| GGUF | i1-Q3_K_M | 17.7 | IQ3_S probably better |
| GGUF | i1-Q3_K_L | 19.2 | IQ3_M probably better |
| GGUF | i1-IQ4_XS | 19.3 | |
| GGUF | i1-Q4_K_S | 20.5 | optimal size/speed/quality |
| GGUF | i1-Q4_K_M | 21.6 | fast, recommended |
| GGUF | i1-Q5_K_S | 24.4 | |
| GGUF | i1-Q6_K | 28.8 | practically like static Q6_K |
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
FAQ / Model Request
See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.
Thanks
I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.