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Fizzarolli_-_phi3-4x4b-v1-gguf

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+ Quantization made by Richard Erkhov.
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+ [Github](https://github.com/RichardErkhov)
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+ [Discord](https://discord.gg/pvy7H8DZMG)
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+
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+ [Request more models](https://github.com/RichardErkhov/quant_request)
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+ phi3-4x4b-v1 - GGUF
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+ - Model creator: https://huggingface.co/Fizzarolli/
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+ - Original model: https://huggingface.co/Fizzarolli/phi3-4x4b-v1/
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+ | Name | Quant method | Size |
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+ | ---- | ---- | ---- |
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+ | [phi3-4x4b-v1.Q2_K.gguf](https://huggingface.co/RichardErkhov/Fizzarolli_-_phi3-4x4b-v1-gguf/blob/main/phi3-4x4b-v1.Q2_K.gguf) | Q2_K | 3.79GB |
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+ | [phi3-4x4b-v1.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Fizzarolli_-_phi3-4x4b-v1-gguf/blob/main/phi3-4x4b-v1.IQ3_XS.gguf) | IQ3_XS | 4.23GB |
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+ | [phi3-4x4b-v1.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Fizzarolli_-_phi3-4x4b-v1-gguf/blob/main/phi3-4x4b-v1.IQ3_S.gguf) | IQ3_S | 4.47GB |
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+ | [phi3-4x4b-v1.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Fizzarolli_-_phi3-4x4b-v1-gguf/blob/main/phi3-4x4b-v1.Q3_K_S.gguf) | Q3_K_S | 4.47GB |
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+ | [phi3-4x4b-v1.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Fizzarolli_-_phi3-4x4b-v1-gguf/blob/main/phi3-4x4b-v1.IQ3_M.gguf) | IQ3_M | 4.59GB |
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+ | [phi3-4x4b-v1.Q3_K.gguf](https://huggingface.co/RichardErkhov/Fizzarolli_-_phi3-4x4b-v1-gguf/blob/main/phi3-4x4b-v1.Q3_K.gguf) | Q3_K | 4.97GB |
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+ | [phi3-4x4b-v1.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Fizzarolli_-_phi3-4x4b-v1-gguf/blob/main/phi3-4x4b-v1.Q3_K_M.gguf) | Q3_K_M | 4.97GB |
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+ | [phi3-4x4b-v1.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Fizzarolli_-_phi3-4x4b-v1-gguf/blob/main/phi3-4x4b-v1.Q3_K_L.gguf) | Q3_K_L | 5.39GB |
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+ | [phi3-4x4b-v1.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Fizzarolli_-_phi3-4x4b-v1-gguf/blob/main/phi3-4x4b-v1.IQ4_XS.gguf) | IQ4_XS | 5.56GB |
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+ | [phi3-4x4b-v1.Q4_0.gguf](https://huggingface.co/RichardErkhov/Fizzarolli_-_phi3-4x4b-v1-gguf/blob/main/phi3-4x4b-v1.Q4_0.gguf) | Q4_0 | 5.83GB |
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+ | [phi3-4x4b-v1.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Fizzarolli_-_phi3-4x4b-v1-gguf/blob/main/phi3-4x4b-v1.IQ4_NL.gguf) | IQ4_NL | 5.87GB |
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+ | [phi3-4x4b-v1.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Fizzarolli_-_phi3-4x4b-v1-gguf/blob/main/phi3-4x4b-v1.Q4_K_S.gguf) | Q4_K_S | 5.88GB |
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+ | [phi3-4x4b-v1.Q4_K.gguf](https://huggingface.co/RichardErkhov/Fizzarolli_-_phi3-4x4b-v1-gguf/blob/main/phi3-4x4b-v1.Q4_K.gguf) | Q4_K | 6.25GB |
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+ | [phi3-4x4b-v1.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Fizzarolli_-_phi3-4x4b-v1-gguf/blob/main/phi3-4x4b-v1.Q4_K_M.gguf) | Q4_K_M | 6.25GB |
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+ | [phi3-4x4b-v1.Q4_1.gguf](https://huggingface.co/RichardErkhov/Fizzarolli_-_phi3-4x4b-v1-gguf/blob/main/phi3-4x4b-v1.Q4_1.gguf) | Q4_1 | 6.46GB |
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+ | [phi3-4x4b-v1.Q5_0.gguf](https://huggingface.co/RichardErkhov/Fizzarolli_-_phi3-4x4b-v1-gguf/blob/main/phi3-4x4b-v1.Q5_0.gguf) | Q5_0 | 7.1GB |
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+ | [phi3-4x4b-v1.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Fizzarolli_-_phi3-4x4b-v1-gguf/blob/main/phi3-4x4b-v1.Q5_K_S.gguf) | Q5_K_S | 7.1GB |
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+ | [phi3-4x4b-v1.Q5_K.gguf](https://huggingface.co/RichardErkhov/Fizzarolli_-_phi3-4x4b-v1-gguf/blob/main/phi3-4x4b-v1.Q5_K.gguf) | Q5_K | 7.32GB |
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+ | [phi3-4x4b-v1.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Fizzarolli_-_phi3-4x4b-v1-gguf/blob/main/phi3-4x4b-v1.Q5_K_M.gguf) | Q5_K_M | 7.32GB |
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+ | [phi3-4x4b-v1.Q5_1.gguf](https://huggingface.co/RichardErkhov/Fizzarolli_-_phi3-4x4b-v1-gguf/blob/main/phi3-4x4b-v1.Q5_1.gguf) | Q5_1 | 7.74GB |
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+ | [phi3-4x4b-v1.Q6_K.gguf](https://huggingface.co/RichardErkhov/Fizzarolli_-_phi3-4x4b-v1-gguf/blob/main/phi3-4x4b-v1.Q6_K.gguf) | Q6_K | 8.46GB |
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+ | [phi3-4x4b-v1.Q8_0.gguf](https://huggingface.co/RichardErkhov/Fizzarolli_-_phi3-4x4b-v1-gguf/blob/main/phi3-4x4b-v1.Q8_0.gguf) | Q8_0 | 10.96GB |
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+ Original model description:
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+ ---
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+ license: mit
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+ tags:
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+ - phi3
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+ - nlp
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+ - moe
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+ datasets:
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+ - BEE-spoke-data/gutenberg-en-v1-clean
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+ - NeelNanda/pile-10k
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+ ---
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+ # phi 3 4x4b
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+ a continually pretrained phi3-mini sparse moe upcycle
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+
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+ ## benchmarks
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+ ### ran locally
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+ | | Microsoft/phi-3-4k-instruct | Fizzarolli/phi3-4x4b-v1 |
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+ | ----------------------- | --------------------------- | ----------------------- |
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+ | MMLU acc. (0-shot) | **0.6799** | 0.6781 |
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+ | Hellaswag acc. (0-shot) | **0.6053** | 0.5962 |
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+ | ARC-E acc. (0-shot) | 0.8325 | **0.8367** |
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+ | ARC-C acc. (0-shot) | 0.5546 | **0.5606** |
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+ honestly i was expecting it to do worse :p, but those are all within a margin of error! so it didn't *lose* any performance, at least
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+
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+ ### open llm leaderboard
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+ todo!
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+
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+ ## support me on ko-fi!
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+ [~~please i need money to stay alive and keep making models~~](https://ko-fi.com/fizzai)
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+ ## notes
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+ *not trained on instruct data.* it's pretty likely that it won't be much different from phi 3 if you use it like that, if not worse due to any forgetting of instruct formats during the continued training.
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+ ## future experiments
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+ - the datasets for this were literally chosen on a whim. perhaps experiment with a further filtered [HuggingFaceFW/fineweb-edu](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu)?
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+ - actually freeze the gate layers next time (see [Chen et. al, 2023](https://arxiv.org/abs/2303.01610)), oops
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+ - MOAR TRAINING, this only went up to ~0.2 of an epoch because i ran out of dolar
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+