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MistralSmall1500CTX by Jellywibble

 »  All LLMs  »  Jellywibble  »  MistralSmall1500CTX   URL Share it on

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/Jellywibble/MistralSmall1500CTX 

MistralSmall1500CTX Benchmarks

LLME Score: 0.21898
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MistralSmall1500CTX (Jellywibble/MistralSmall1500CTX)

MistralSmall1500CTX Parameters and Internals

LLM NameMistralSmall1500CTX
Repository 🤗https://huggingface.co/Jellywibble/MistralSmall1500CTX 
Model Size22.2b
Required VRAM44.7 GB
Updated2025-02-05
MaintainerJellywibble
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-9   5.0 GB: 2-of-9   5.0 GB: 3-of-9   4.9 GB: 4-of-9   5.0 GB: 5-of-9   5.0 GB: 6-of-9   4.9 GB: 7-of-9   5.0 GB: 8-of-9   5.0 GB: 9-of-9
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32768
Torch Data Typefloat16

Best Alternatives to MistralSmall1500CTX

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Context / RAM
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Likes
Mistral Small Instruct 2409128K / 44.7 GB13225
MS Sunfall V0.7.032K / 44.7 GB9511
...lect MistralSmallit MMQA Iter132K / 44.7 GB360
...ct MistralSmallit Mg DPO Iter132K / 60.8 GB380
...istral Small It MMQA DPO Iter132K / 44.7 GB50
...mall Instruct 2409 Abliterated32K / 44.7 GB50
MistralSmall1500CTXDummy32K / 44.7 GB70
Note: green Score (e.g. "73.2") means that the model is better than Jellywibble/MistralSmall1500CTX.

Rank the MistralSmall1500CTX Capabilities

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Instruction Following and Task Automation  
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Release v20241227
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