Dolphin 2.8 Experiment26 7B AWQ by solidrust

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Dolphin 2.8 Experiment26 7B AWQ is an open-source language model by solidrust. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, HF Score: 68.6, LLM Explorer Score: 0.13, Arc: 64.5, HellaSwag: 83.8, MMLU: 63.2, TruthfulQA: 54.9, WinoGrande: 81.6, GSM8K: 63.6.

  4-bit   Autotrain compatible   Awq Base model:dphn/dolphin-2.8-ex... Base model:quantized:dphn/dolp...   Conversational   Dataset:ehartford/dolphin Dataset:ehartford/dolphin-code... Dataset:jondurbin/airoboros-2....   Dataset:m-a-p/code-feedback   Dataset:teknium/openhermes   En   Endpoints compatible   Mistral   Pytorch   Quantized   Region:us   Safetensors   Text-gen

Dolphin 2.8 Experiment26 7B AWQ Benchmarks

Dolphin 2.8 Experiment26 7B AWQ (solidrust/dolphin-2.8-experiment26-7b-AWQ)
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Dolphin 2.8 Experiment26 7B AWQ Parameters and Internals

LLM NameDolphin 2.8 Experiment26 7B AWQ
Repository ๐Ÿค—https://huggingface.co/solidrust/dolphin-2.8-experiment26-7b-AWQ 
Model NameChatHercules-2.5-Mistral-7B
Model Creatorhydra-project
Base Model(s)  cognitivecomputations/dolphin-2.8-experiment26-7b   cognitivecomputations/dolphin-2.8-experiment26-7b
Model Size7b
Required VRAM4.2 GB
Updated2026-04-07
Maintainersolidrust
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than solidrust/dolphin-2.8-experiment26-7b-AWQ.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Release v20260328a