File size: 4,582 Bytes
d0fef18 e7728df d0fef18 8577038 d0fef18 e7728df d0fef18 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 |
---
base_model: Spestly/Atlas-Pro-7B-Preview-1M
datasets:
- prithivMLmods/PyCodeZone
- bespokelabs/Bespoke-Stratos-17k
- openai/gsm8k
- rubenroy/GammaCorpus-v1-50k-UNFILTERED
extra_gated_fields:
Country: country
Date of Birth: date_picker
I agree to use this model in accordance with all applicable laws and ethical guidelines: checkbox
I agree to use this model under the MIT licence: checkbox
Intended Use:
options:
- Research
- Education
- Personal Development
- Commercial Use
- label: Other
value: other
type: select
Name: text
Organization: text
extra_gated_prompt: By accessing this model, you agree to comply with ethical usage
guidelines and accept full responsibility for its applications. You will not use
this model for harmful, malicious, or illegal activities, and you understand that
the model's use is subject to ongoing monitoring for misuse. This model is provided
'AS IS' and agreeing to this means that you are responsible for all the outputs
generated by you
language:
- en
- zh
- fr
- es
- pt
- de
- it
- ru
- ja
- ko
- vi
- th
- ar
- fa
- he
- tr
- cs
- pl
- hi
- bn
- ur
- id
- ms
- lo
- my
- ceb
- km
- tl
- nl
library_name: transformers
license: mit
quantized_by: mradermacher
tags:
- text-generation-inference
- transformers
- unsloth
- qwen2
- trl
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co./Spestly/Atlas-Pro-7B-Preview-1M
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co./mradermacher/Atlas-Pro-7B-Preview-1M-i1-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co./TheBloke/KafkaLM-70B-German-V0.1-GGUF) 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](https://huggingface.co./mradermacher/Atlas-Pro-7B-Preview-1M-GGUF/resolve/main/Atlas-Pro-7B-Preview-1M.Q2_K.gguf) | Q2_K | 3.1 | |
| [GGUF](https://huggingface.co./mradermacher/Atlas-Pro-7B-Preview-1M-GGUF/resolve/main/Atlas-Pro-7B-Preview-1M.Q3_K_S.gguf) | Q3_K_S | 3.6 | |
| [GGUF](https://huggingface.co./mradermacher/Atlas-Pro-7B-Preview-1M-GGUF/resolve/main/Atlas-Pro-7B-Preview-1M.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |
| [GGUF](https://huggingface.co./mradermacher/Atlas-Pro-7B-Preview-1M-GGUF/resolve/main/Atlas-Pro-7B-Preview-1M.Q3_K_L.gguf) | Q3_K_L | 4.2 | |
| [GGUF](https://huggingface.co./mradermacher/Atlas-Pro-7B-Preview-1M-GGUF/resolve/main/Atlas-Pro-7B-Preview-1M.IQ4_XS.gguf) | IQ4_XS | 4.4 | |
| [GGUF](https://huggingface.co./mradermacher/Atlas-Pro-7B-Preview-1M-GGUF/resolve/main/Atlas-Pro-7B-Preview-1M.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |
| [GGUF](https://huggingface.co./mradermacher/Atlas-Pro-7B-Preview-1M-GGUF/resolve/main/Atlas-Pro-7B-Preview-1M.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended |
| [GGUF](https://huggingface.co./mradermacher/Atlas-Pro-7B-Preview-1M-GGUF/resolve/main/Atlas-Pro-7B-Preview-1M.Q5_K_S.gguf) | Q5_K_S | 5.4 | |
| [GGUF](https://huggingface.co./mradermacher/Atlas-Pro-7B-Preview-1M-GGUF/resolve/main/Atlas-Pro-7B-Preview-1M.Q5_K_M.gguf) | Q5_K_M | 5.5 | |
| [GGUF](https://huggingface.co./mradermacher/Atlas-Pro-7B-Preview-1M-GGUF/resolve/main/Atlas-Pro-7B-Preview-1M.Q6_K.gguf) | Q6_K | 6.4 | very good quality |
| [GGUF](https://huggingface.co./mradermacher/Atlas-Pro-7B-Preview-1M-GGUF/resolve/main/Atlas-Pro-7B-Preview-1M.Q8_0.gguf) | Q8_0 | 8.2 | fast, best quality |
| [GGUF](https://huggingface.co./mradermacher/Atlas-Pro-7B-Preview-1M-GGUF/resolve/main/Atlas-Pro-7B-Preview-1M.f16.gguf) | f16 | 15.3 | 16 bpw, overkill |
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](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time.
<!-- end -->
|