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RichardErkhov/FourOhFour_-_Zenith_4B-gguf
FourOhFour_-_Zenith_4B-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Downloads · 30 days
19
3% of all-time downloads
All-time downloads
725
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52.7 GB
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.gguf61.1 GB · 100%
From the Hugging Face model README
Quantization made by Richard Erkhov.
Zenith_4B - GGUF
| Name | Quant method | Size |
|---|---|---|
| Zenith_4B.Q2_K.gguf | Q2_K | 1.71GB |
| Zenith_4B.IQ3_XS.gguf | IQ3_XS | 1.89GB |
| Zenith_4B.IQ3_S.gguf | IQ3_S | 1.97GB |
| Zenith_4B.Q3_K_S.gguf | Q3_K_S | 1.96GB |
| Zenith_4B.IQ3_M.gguf | IQ3_M | 2.03GB |
| Zenith_4B.Q3_K.gguf | Q3_K | 2.14GB |
| Zenith_4B.Q3_K_M.gguf | Q3_K_M | 2.14GB |
| Zenith_4B.Q3_K_L.gguf | Q3_K_L | 2.3GB |
| Zenith_4B.IQ4_XS.gguf | IQ4_XS | 2.38GB |
| Zenith_4B.Q4_0.gguf | Q4_0 | 2.47GB |
| Zenith_4B.IQ4_NL.gguf | IQ4_NL | 2.49GB |
| Zenith_4B.Q4_K_S.gguf | Q4_K_S | 2.48GB |
| Zenith_4B.Q4_K.gguf | Q4_K | 2.59GB |
| Zenith_4B.Q4_K_M.gguf | Q4_K_M | 2.59GB |
| Zenith_4B.Q4_1.gguf | Q4_1 | 2.71GB |
| Zenith_4B.Q5_0.gguf | Q5_0 | 2.95GB |
| Zenith_4B.Q5_K_S.gguf | Q5_K_S | 2.95GB |
| Zenith_4B.Q5_K.gguf | Q5_K | 3.01GB |
| Zenith_4B.Q5_K_M.gguf | Q5_K_M | 3.01GB |
| Zenith_4B.Q5_1.gguf | Q5_1 | 3.19GB |
| Zenith_4B.Q6_K.gguf | Q6_K | 3.46GB |
| Zenith_4B.Q8_0.gguf | Q8_0 | 4.47GB |
license: apache-2.0 language:

| Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|
|------------------|------:|------|------|------|---|-----:|---|-----:|
|mmlu | 2|none | |acc |_ |0.5922|_ |0.0039|
| - humanities | 2|none | |acc |_ |0.5522|_ |0.0068|
| - other | 2|none | |acc |_ |0.6579|_ |0.0082|
| - social sciences| 2|none | |acc |_ |0.6815|_ |0.0082|
| - stem | 2|none | |acc |_ |0.5002|_ |0.0086|
This model was created with the help of several members of Anthracite.
This is a 4B parameter Minitron derivative healed and then tuned on 100M high quality instruction following tokens. This model was tuned at 8k context. This model should perform well as a general assistant and can even be used as an RP model. Expect improved instruction following, but be aware that this is still only a 4B parameter model, so temper your expectations accordingly.
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