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L3-8B-Lunar-Stheno-GGUF

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GGUF
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llama-3
text-generation-inference
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README.md CHANGED
@@ -36,21 +36,21 @@ more details, including on how to concatenate multi-part files.
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  | Link | Type | Size/GB | Notes |
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  |:-----|:-----|--------:|:------|
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- | [GGUF](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/.Q2_K.gguf) | Q2_K | 3.3 | |
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- | [GGUF](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/.IQ3_XS.gguf) | IQ3_XS | 3.6 | |
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- | [GGUF](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/.Q3_K_S.gguf) | Q3_K_S | 3.8 | |
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- | [GGUF](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/.IQ3_M.gguf) | IQ3_M | 3.9 | |
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- | [GGUF](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality |
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- | [GGUF](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/.Q3_K_L.gguf) | Q3_K_L | 4.4 | |
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- | [GGUF](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/.IQ4_XS.gguf) | IQ4_XS | 4.6 | |
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- | [GGUF](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended |
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- | [GGUF](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/.Q4_K_M.gguf) | Q4_K_M | 5.0 | fast, recommended |
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- | [GGUF](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/.Q5_K_S.gguf) | Q5_K_S | 5.7 | |
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- | [GGUF](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/.Q5_K_M.gguf) | Q5_K_M | 5.8 | |
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- | [GGUF](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/.Q6_K.gguf) | Q6_K | 6.7 | very good quality |
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- | [PART 1](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/.IQ3_S.gguf) [PART 2](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/L3-8B-Lunar-Stheno.IQ3_S.gguf) | IQ3_S | 7.5 | beats Q3_K* |
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- | [PART 1](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/.Q8_0.gguf) [PART 2](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/L3-8B-Lunar-Stheno.Q8_0.gguf) | Q8_0 | 17.2 | fast, best quality |
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- | [PART 1](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/.f16.gguf) [PART 2](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/L3-8B-Lunar-Stheno.f16.gguf) | f16 | 32.2 | 16 bpw, overkill |
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  Here is a handy graph by ikawrakow comparing some lower-quality quant
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  types (lower is better):
 
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  | Link | Type | Size/GB | Notes |
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  |:-----|:-----|--------:|:------|
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+ | [GGUF](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/L3-8B-Lunar-Stheno.Q2_K.gguf) | Q2_K | 3.3 | |
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+ | [GGUF](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/L3-8B-Lunar-Stheno.IQ3_XS.gguf) | IQ3_XS | 3.6 | |
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+ | [GGUF](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/L3-8B-Lunar-Stheno.Q3_K_S.gguf) | Q3_K_S | 3.8 | |
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+ | [GGUF](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/L3-8B-Lunar-Stheno.IQ3_S.gguf) | IQ3_S | 3.8 | beats Q3_K* |
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+ | [GGUF](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/L3-8B-Lunar-Stheno.IQ3_M.gguf) | IQ3_M | 3.9 | |
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+ | [GGUF](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/L3-8B-Lunar-Stheno.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality |
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+ | [GGUF](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/L3-8B-Lunar-Stheno.Q3_K_L.gguf) | Q3_K_L | 4.4 | |
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+ | [GGUF](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/L3-8B-Lunar-Stheno.IQ4_XS.gguf) | IQ4_XS | 4.6 | |
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+ | [GGUF](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/L3-8B-Lunar-Stheno.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/L3-8B-Lunar-Stheno.Q4_K_M.gguf) | Q4_K_M | 5.0 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/L3-8B-Lunar-Stheno.Q5_K_S.gguf) | Q5_K_S | 5.7 | |
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+ | [GGUF](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/L3-8B-Lunar-Stheno.Q5_K_M.gguf) | Q5_K_M | 5.8 | |
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+ | [GGUF](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/L3-8B-Lunar-Stheno.Q6_K.gguf) | Q6_K | 6.7 | very good quality |
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+ | [GGUF](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/L3-8B-Lunar-Stheno.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality |
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+ | [GGUF](https://huggingface.co/mradermacher/L3-8B-Lunar-Stheno-GGUF/resolve/main/L3-8B-Lunar-Stheno.f16.gguf) | f16 | 16.2 | 16 bpw, overkill |
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  Here is a handy graph by ikawrakow comparing some lower-quality quant
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  types (lower is better):