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LLama-3-Dolphin-2.9.1-120b-GGUF

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  <!-- ### quantize_version: 2 -->
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  <!-- ### output_tensor_quantised: 1 -->
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  <!-- ### convert_type: hf -->
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  <!-- ### vocab_type: -->
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  static quants of https://huggingface.co/DarqueDante/LLama-3-Dolphin-2.9.1-120b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ base_model: DarqueDante/LLama-3-Dolphin-2.9.1-120b
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+ datasets:
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+ - cognitivecomputations/Dolphin-2.9
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+ - teknium/OpenHermes-2.5
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+ - m-a-p/CodeFeedback-Filtered-Instruction
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+ - cognitivecomputations/dolphin-coder
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+ - cognitivecomputations/samantha-data
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+ - HuggingFaceH4/ultrachat_200k
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+ - microsoft/orca-math-word-problems-200k
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+ - abacusai/SystemChat-1.1
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+ - Locutusque/function-calling-chatml
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+ - internlm/Agent-FLAN
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+ language:
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+ - en
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+ library_name: transformers
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+ quantized_by: mradermacher
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+ tags:
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+ - mergekit
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+ - merge
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+ ---
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+ ## About
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+
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  <!-- ### quantize_version: 2 -->
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  <!-- ### output_tensor_quantised: 1 -->
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  <!-- ### convert_type: hf -->
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  <!-- ### vocab_type: -->
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  static quants of https://huggingface.co/DarqueDante/LLama-3-Dolphin-2.9.1-120b
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+
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+ <!-- provided-files -->
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+ weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
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+ ## Usage
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+
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+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
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+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
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+ more details, including on how to concatenate multi-part files.
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+
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+ ## Provided Quants
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+
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+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
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+
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+ | Link | Type | Size/GB | Notes |
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+ |:-----|:-----|--------:|:------|
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+ | [GGUF](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.Q2_K.gguf) | Q2_K | 45.2 | |
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+ | [PART 1](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.IQ3_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.IQ3_XS.gguf.part2of2) | IQ3_XS | 50.3 | |
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+ | [PART 1](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.Q3_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.Q3_K_S.gguf.part2of2) | Q3_K_S | 52.9 | |
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+ | [PART 1](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.IQ3_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.IQ3_S.gguf.part2of2) | IQ3_S | 53.1 | beats Q3_K* |
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+ | [PART 1](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.IQ3_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.IQ3_M.gguf.part2of2) | IQ3_M | 54.8 | |
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+ | [PART 1](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.Q3_K_M.gguf.part2of2) | Q3_K_M | 58.9 | lower quality |
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+ | [PART 1](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.Q3_K_L.gguf.part2of2) | Q3_K_L | 64.1 | |
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+ | [PART 1](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.IQ4_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.IQ4_XS.gguf.part2of2) | IQ4_XS | 66.0 | |
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+ | [PART 1](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.Q4_K_S.gguf.part2of2) | Q4_K_S | 69.5 | fast, recommended |
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+ | [PART 1](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.Q4_K_M.gguf.part2of2) | Q4_K_M | 73.3 | fast, recommended |
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+ | [PART 1](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.Q5_K_S.gguf.part2of2) | Q5_K_S | 84.1 | |
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+ | [PART 1](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.Q5_K_M.gguf.part2of2) | Q5_K_M | 86.3 | |
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+ | [PART 1](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.Q6_K.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.Q6_K.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.Q6_K.gguf.part3of3) | Q6_K | 100.1 | very good quality |
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+ | [PART 1](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.Q8_0.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.Q8_0.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/LLama-3-Dolphin-2.9.1-120b-GGUF/resolve/main/LLama-3-Dolphin-2.9.1-120b.Q8_0.gguf.part3of3) | Q8_0 | 129.6 | fast, best quality |
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+
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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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+
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+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
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+
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+ And here are Artefact2's thoughts on the matter:
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+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
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+
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+ ## FAQ / Model Request
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+
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+ See https://huggingface.co/mradermacher/model_requests for some answers to
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+ questions you might have and/or if you want some other model quantized.
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+
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+ ## Thanks
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+
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+ I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
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+ me use its servers and providing upgrades to my workstation to enable
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+ this work in my free time.
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+
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+ <!-- end -->