初始化项目，由ModelHub XC社区提供模型
Model: allura-forge/Llama-3.3-8B-Instruct Source: Original Platform
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README.md
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README.md
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---
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license: llama3.3
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---
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# Llama 3.3 8B Instruct
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Yes, this is official, and yes, this is, to my knowledge, a real version of Llama 3.3 8B!
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**I would highly recommend trying both this model, and [a version with the Llama 3.3 70B config applied to extend the context length to 128k](/shb777/Llama-3.3-8B-Instruct). I am unsure as to which one of these is closest to real; while the original copy I downloaded came with the 8k context configuration, benchmarks seem to slightly improve on the 128k version.**
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## Benchmarks
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| | Llama 3.1 8B Instruct | Llama 3.3 8B Instruct (as downloaded from Facebook) | [Llama 3.3 8B Instruct w/ Llama 3.3 70B RoPE config to extend to 128k context](/shb777/Llama-3.3-8B-Instruct)
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|-|-|-|-|
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|IFEval (1 epoch, score avged across all strict/loose instruction/prompt accuracies to follow Llama 3 paper)|78.2|81.95|84.775
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|GPQA Diamond (3 epochs)|29.3|37.0|37.5
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All benchmarks done in OpenBench at 1.0 temp.
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<details>
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## Rationale
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Facebook has a [Llama API](https://llama.developer.meta.com) available that allows for inference of the other Llama models (L3.3 70B, L4 Scout and Maverick), but *also* includes a special, new (according to the original press release) "Llama 3.3 8B" that didn't exist anywhere else and was stuck behind the Facebook API!
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However. The Llama API supports finetuning L3.3... *and downloading the final model in HF format.* Problem solved, right?
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Wellllllllllllllll. Not really. The finetuning API was hidden behind layers of support tickets. I tried when the original API dropped in April, and was just told "We'll think about it and send you any updates" (there never were any updates).
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Flash forward to December, on a whim I decide to look at the API again. And... by god... the finetuning tab was there. I could click on it and start a job (please ignore that I have no idea how it works, and in fact the finetuning tab actually disappeared after the first time I clicked on it, though I could still manually go to the page).
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Apparently, this was not very well tested, as there were a good few bugs, the UI was janky, and the download model function did not actually work due to CORS (I had to manually curl things to get the CDN link).
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But... by god... the zip file downloaded, and I had my slightly finetuned model.
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To my shock and delight, however, they also provide the adapter that they merged into the model. That means I can *subtract* that adapter and get the original model. And... here we are!
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## More cursed discoveries
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1. Apparently the context length of the *original* Llama 3.3 model (i.e. the regular one that the Llama API serves) is 128k, while the finetunable version is only 8k. This is true across both the downloaded version *and* the version of the finetune served by the API (refer to screenshot with 10k tokens worth of `a` as input). This does not really make any coherent sense.
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## Are you sure this is really Llama 3.3?
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As far as I'm aware! It has stylistic tics that differ from Llama 3 and 3.1.
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There are a few weird artifacts, however, of the base model being the... original Llama 3(???)
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The original ZIP included an `original_repo_id.json` that contained:
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```json
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{
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"repo_id": "meta-llama/Meta-Llama-3-8B-Instruct"
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}
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```
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and, furthermore, the `adapter_config.json` *also* had Llama 3 as the base model. However, the models clearly act different and know different things! Furthermore, I tested across the Llama API and my copy, and they both share the same differences from L3 and L3.1.
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Suffice it to say, I'm pretty sure this is really Llama 3.3 8B.
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## Is this legal?
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According to the [T&S of the Llama API as of December 29th, 2025](https://archive.is/y7KSR):
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> For example, via the Llama API, you may receive access to the Llama 3.3 8b model, which is considered a Llama AI model and part of the Meta AI Materials; when downloaded, and not accessed via the Llama API, the Llama 3.3 8b model is subject to the Llama 3.3 Community License Agreement and Acceptable Use Policy.
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The Llama 3.3 8b model (after downloading) is subject to the regular L3.3 license, which allows for redistribution. So... as far as I can tell, yes, this is perfectly legal to redistribute!
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---
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Llama 3.3 is licensed under the Llama 3.3 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved
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Please email me at `fizzarolli [at] riseup.net` for any conerns. If Meta would like me to take this model down, please have someone email me and ask from an official Meta address.
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</details>
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{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>
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'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>
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' }}{% endif %}
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config.json
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||||
"model.norm.weight": "model-00004-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
16
special_tokens_map.json
Normal file
16
special_tokens_map.json
Normal file
@@ -0,0 +1,16 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|eot_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:e134af98b985517b4f068e3755ae90d4e9cd2d45d328325dc503f1c6b2d06cc7
|
||||
size 9085698
|
||||
2062
tokenizer_config.json
Normal file
2062
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user