language:
- en
library_name: transformers
pipeline_tag: text-generation
datasets:
- jondurbin/airoboros-2.2
- Open-Orca/OpenOrca
- garage-bAInd/Open-Platypus
- WizardLM/WizardLM_evol_instruct_V2_196k
- TokenBender/python_eval_instruct_51k
- codefuse-ai/Evol-Instruction-66k
tags:
- llama-2
- code
license: llama2
model-index:
- name: SpeechlessCoder
results:
- task:
type: text-generation
dataset:
type: openai_humaneval
name: HumanEval
metrics:
- name: pass@1
type: pass@1
value: null
verified: false
quantized_by: bartowski
Exllama v2 Quantizations of speechless-sparsetral-mistral-16x7b-MoE
Using turboderp's ExLlamaV2 v0.0.13 for quantization.
The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)
Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
Original model: https://huggingface.co/uukuguy/speechless-sparsetral-mistral-16x7b-MoE
| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
|---|---|---|---|---|---|---|
| 8_0 | 8.0 | 8.0 | 8.3 GB | 9.7 GB | 11.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
| 6_5 | 6.5 | 8.0 | 7.1 GB | 8.5 GB | 10.6 GB | Very similar to 8.0, good tradeoff of size vs performance, recommended. |
| 5_0 | 5.0 | 6.0 | 5.7 GB | 7.1 GB | 9.2 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
| 4_25 | 4.25 | 6.0 | 5.1 GB | 6.5 GB | 8.6 GB | GPTQ equivalent bits per weight, slightly higher quality. |
| 3_5 | 3.5 | 6.0 | 4.4 GB | 5.8 GB | 7.9 GB | Lower quality, only use if you have to. |
Download instructions
With git:
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/speechless-sparsetral-mistral-16x7b-MoE-exl2 speechless-sparsetral-mistral-16x7b-MoE-exl2-6_5
With huggingface hub (credit to TheBloke for instructions):
pip3 install huggingface-hub
To download the main (only useful if you only care about measurement.json) branch to a folder called speechless-sparsetral-mistral-16x7b-MoE-exl2:
mkdir speechless-sparsetral-mistral-16x7b-MoE-exl2
huggingface-cli download bartowski/speechless-sparsetral-mistral-16x7b-MoE-exl2 --local-dir speechless-sparsetral-mistral-16x7b-MoE-exl2 --local-dir-use-symlinks False
To download from a different branch, add the --revision parameter:
Linux:
mkdir speechless-sparsetral-mistral-16x7b-MoE-exl2-6_5
huggingface-cli download bartowski/speechless-sparsetral-mistral-16x7b-MoE-exl2 --revision 6_5 --local-dir speechless-sparsetral-mistral-16x7b-MoE-exl2-6_5 --local-dir-use-symlinks False
Windows (which apparently doesn't like _ in folders sometimes?):
mkdir speechless-sparsetral-mistral-16x7b-MoE-exl2-6.5
huggingface-cli download bartowski/speechless-sparsetral-mistral-16x7b-MoE-exl2 --revision 6_5 --local-dir speechless-sparsetral-mistral-16x7b-MoE-exl2-6.5 --local-dir-use-symlinks False
Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski