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Model: mradermacher/LightGPT-7B-Llama2-GGUF Source: Original Platform
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---
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base_model: lightgpt/LightGPT-7B-Llama2
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||||||
|
or infer health, demographic, or other sensitive personal or private information
|
||||||
|
about individuals without rights and consents required by applicable laws\n 6.
|
||||||
|
Engage in or facilitate any action or generate any content that infringes, misappropriates,
|
||||||
|
or otherwise violates any third-party rights, including the outputs or results of
|
||||||
|
any products or services using the Llama 2 Materials\n 7. Create, generate,
|
||||||
|
or facilitate the creation of malicious code, malware, computer viruses or do anything
|
||||||
|
else that could disable, overburden, interfere with or impair the proper working,
|
||||||
|
integrity, operation or appearance of a website or computer system \n2. Engage in,
|
||||||
|
promote, incite, facilitate, or assist in the planning or development of activities
|
||||||
|
that present a risk of death or bodily harm to individuals, including use of Llama
|
||||||
|
2 related to the following:\n 1. Military, warfare, nuclear industries or applications,
|
||||||
|
espionage, use for materials or activities that are subject to the International
|
||||||
|
Traffic Arms Regulations (ITAR) maintained by the United States Department of State\n
|
||||||
|
\ 2. Guns and illegal weapons (including weapon development)\n 3. Illegal drugs
|
||||||
|
and regulated/controlled substances\n 4. Operation of critical infrastructure,
|
||||||
|
transportation technologies, or heavy machinery\n 5. Self-harm or harm to others,
|
||||||
|
including suicide, cutting, and eating disorders\n 6. Any content intended to
|
||||||
|
incite or promote violence, abuse, or any infliction of bodily harm to an individual\n3.
|
||||||
|
Intentionally deceive or mislead others, including use of Llama 2 related to the
|
||||||
|
following:\n 1. Generating, promoting, or furthering fraud or the creation or
|
||||||
|
promotion of disinformation\n 2. Generating, promoting, or furthering defamatory
|
||||||
|
content, including the creation of defamatory statements, images, or other content\n
|
||||||
|
\ 3. Generating, promoting, or further distributing spam\n 4. Impersonating
|
||||||
|
another individual without consent, authorization, or legal right\n 5. Representing
|
||||||
|
that the use of Llama 2 or outputs are human-generated\n 6. Generating or facilitating
|
||||||
|
false online engagement, including fake reviews and other means of fake online engagement
|
||||||
|
\n 4. Fail to appropriately disclose to end users any known dangers of your AI
|
||||||
|
system \nPlease report any violation of this Policy, software “bug,” or other problems
|
||||||
|
that could lead to a violation of this Policy through one of the following means:
|
||||||
|
\n * Reporting issues with the model: [github.com/facebookresearch/llama](http://github.com/facebookresearch/llama)\n
|
||||||
|
\ * Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)\n
|
||||||
|
\ * Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)
|
||||||
|
\n * Reporting violations of the Acceptable Use Policy or unlicensed uses of
|
||||||
|
Llama: [LlamaUseReport@meta.com](mailto:LlamaUseReport@meta.com)"
|
||||||
|
language:
|
||||||
|
- en
|
||||||
|
library_name: transformers
|
||||||
|
license: mit
|
||||||
|
quantized_by: mradermacher
|
||||||
|
tags:
|
||||||
|
- pytorch
|
||||||
|
- llama-2
|
||||||
|
- traffic signal control
|
||||||
|
- lightgpt
|
||||||
|
- llmlight
|
||||||
|
---
|
||||||
|
## About
|
||||||
|
|
||||||
|
<!-- ### quantize_version: 2 -->
|
||||||
|
<!-- ### output_tensor_quantised: 1 -->
|
||||||
|
<!-- ### convert_type: hf -->
|
||||||
|
<!-- ### vocab_type: -->
|
||||||
|
<!-- ### tags: -->
|
||||||
|
static quants of https://huggingface.co/lightgpt/LightGPT-7B-Llama2
|
||||||
|
|
||||||
|
<!-- provided-files -->
|
||||||
|
weighted/imatrix quants are available at https://huggingface.co/mradermacher/LightGPT-7B-Llama2-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/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.Q2_K.gguf) | Q2_K | 2.6 | |
|
||||||
|
| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.IQ3_XS.gguf) | IQ3_XS | 2.9 | |
|
||||||
|
| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.IQ3_S.gguf) | IQ3_S | 3.0 | beats Q3_K* |
|
||||||
|
| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.Q3_K_S.gguf) | Q3_K_S | 3.0 | |
|
||||||
|
| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.IQ3_M.gguf) | IQ3_M | 3.2 | |
|
||||||
|
| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.Q3_K_M.gguf) | Q3_K_M | 3.4 | lower quality |
|
||||||
|
| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.Q3_K_L.gguf) | Q3_K_L | 3.7 | |
|
||||||
|
| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.IQ4_XS.gguf) | IQ4_XS | 3.7 | |
|
||||||
|
| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.Q4_K_S.gguf) | Q4_K_S | 4.0 | fast, recommended |
|
||||||
|
| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.Q4_K_M.gguf) | Q4_K_M | 4.2 | fast, recommended |
|
||||||
|
| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.Q5_K_S.gguf) | Q5_K_S | 4.8 | |
|
||||||
|
| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.Q5_K_M.gguf) | Q5_K_M | 4.9 | |
|
||||||
|
| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.Q6_K.gguf) | Q6_K | 5.6 | very good quality |
|
||||||
|
| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.Q8_0.gguf) | Q8_0 | 7.3 | fast, best quality |
|
||||||
|
| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.f16.gguf) | f16 | 13.6 | 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 -->
|
||||||
Reference in New Issue
Block a user