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mradermacher
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Mixtral_AI_CyberUltron-GGUF

Transformers
GGUF
English
text-generation-inference
unsloth
mistral
trl
code
medical
farmer
doctor
Mega-Series
Cyber-Series
Role-Play
Self-Rag
ThinkingBot
milestone
mega-series
SpydazWebAI
Inference Endpoints
Model card Files Community
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  <!-- ### quantize_version: 1 -->
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  <!-- ### output_tensor_quantised: 1 -->
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  <!-- ### convert_type: -->
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  <!-- ### vocab_type: -->
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  static quants of https://huggingface.co/LeroyDyer/Mixtral_AI_CyberUltron
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ base_model: LeroyDyer/Mixtral_AI_CyberUltron
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+ datasets:
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+ - gretelai/synthetic_text_to_sql
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+ - HuggingFaceTB/cosmopedia
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+ - teknium/OpenHermes-2.5
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+ - Open-Orca/SlimOrca
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+ - Open-Orca/OpenOrca
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+ - cognitivecomputations/dolphin-coder
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+ - databricks/databricks-dolly-15k
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+ - yahma/alpaca-cleaned
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+ - uonlp/CulturaX
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+ - mwitiderrick/SwahiliPlatypus
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+ - swahili
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+ - Rogendo/English-Swahili-Sentence-Pairs
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+ - ise-uiuc/Magicoder-Evol-Instruct-110K
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+ - meta-math/MetaMathQA
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+ exported_from: LeroyDyer/Mixtral_AI_CyberUltron
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+ language:
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+ - en
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+ library_name: transformers
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+ license: apache-2.0
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+ quantized_by: mradermacher
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+ tags:
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+ - text-generation-inference
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+ - transformers
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+ - unsloth
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+ - mistral
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+ - trl
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+ - code
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+ - 'medical '
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+ - farmer
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+ - doctor
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+ - Mega-Series
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+ - Cyber-Series
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+ - Role-Play
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+ - Self-Rag
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+ - ThinkingBot
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+ - milestone
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+ - mega-series
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+ - SpydazWebAI
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+ ---
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+ ## About
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+
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  <!-- ### quantize_version: 1 -->
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  <!-- ### output_tensor_quantised: 1 -->
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  <!-- ### convert_type: -->
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  <!-- ### vocab_type: -->
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  static quants of https://huggingface.co/LeroyDyer/Mixtral_AI_CyberUltron
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+
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+
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+ <!-- provided-files -->
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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/Mixtral_AI_CyberUltron-i1-GGUF/resolve/main/Mixtral_AI_CyberUltron.Q2_K.gguf) | Q2_K | 2.8 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_CyberUltron-i1-GGUF/resolve/main/Mixtral_AI_CyberUltron.IQ3_XS.gguf) | IQ3_XS | 3.1 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_CyberUltron-i1-GGUF/resolve/main/Mixtral_AI_CyberUltron.Q3_K_S.gguf) | Q3_K_S | 3.3 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_CyberUltron-i1-GGUF/resolve/main/Mixtral_AI_CyberUltron.IQ3_S.gguf) | IQ3_S | 3.3 | beats Q3_K* |
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+ | [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_CyberUltron-i1-GGUF/resolve/main/Mixtral_AI_CyberUltron.IQ3_M.gguf) | IQ3_M | 3.4 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_CyberUltron-i1-GGUF/resolve/main/Mixtral_AI_CyberUltron.Q3_K_M.gguf) | Q3_K_M | 3.6 | lower quality |
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+ | [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_CyberUltron-i1-GGUF/resolve/main/Mixtral_AI_CyberUltron.Q3_K_L.gguf) | Q3_K_L | 3.9 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_CyberUltron-i1-GGUF/resolve/main/Mixtral_AI_CyberUltron.IQ4_XS.gguf) | IQ4_XS | 4.0 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_CyberUltron-i1-GGUF/resolve/main/Mixtral_AI_CyberUltron.Q4_K_S.gguf) | Q4_K_S | 4.2 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_CyberUltron-i1-GGUF/resolve/main/Mixtral_AI_CyberUltron.Q4_K_M.gguf) | Q4_K_M | 4.5 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_CyberUltron-i1-GGUF/resolve/main/Mixtral_AI_CyberUltron.Q5_K_S.gguf) | Q5_K_S | 5.1 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_CyberUltron-i1-GGUF/resolve/main/Mixtral_AI_CyberUltron.Q5_K_M.gguf) | Q5_K_M | 5.2 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_CyberUltron-i1-GGUF/resolve/main/Mixtral_AI_CyberUltron.Q6_K.gguf) | Q6_K | 6.0 | very good quality |
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+ | [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_CyberUltron-i1-GGUF/resolve/main/Mixtral_AI_CyberUltron.Q8_0.gguf) | Q8_0 | 7.8 | fast, best quality |
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+ | [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_CyberUltron-i1-GGUF/resolve/main/Mixtral_AI_CyberUltron.f16.gguf) | f16 | 14.6 | 16 bpw, overkill |
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+
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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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+ ## 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 -->