NeuralKrishna 7B V3 is an open-source language model by Kukedlc. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Merged, HF Score: 76.1, LLM Explorer Score: 0.13, Arc: 73.6, HellaSwag: 88.9, MMLU: 64.5, TruthfulQA: 74.1, WinoGrande: 84.7, GSM8K: 71.
Merged Model Base model:kukedlc/fasciculus-... Base model:kukedlc/neural4gsm8... Base model:kukedlc/neuralglitc... Endpoints compatible Kukedlc/fasciculus-arcuatus-7b... Kukedlc/neural4gsm8k Kukedlc/neuralglitch-yam-peleg... Mistral Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/Kukedlc/NeuralKrishna-7B-v3
NeuralKrishna 7B V3 Benchmarks
ARC: 73.63 vs 96.7 (so35)-23.9%
HellaSwag: 88.91 vs 95.3 (gpt4)-6.7%
MMLU: 64.45 vs 88.3 (so35)-27%
TruthfulQA: 74.11 vs 59 (gpt4)25.6%
WinoGrande: 84.69 vs 87.5 (gpt4)-3.2%
GSM8K: 70.96 vs 96.4 (so35)-26.4%
LLME Score: 0.12786
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
NeuralKrishna 7B V3 Parameters and Internals
| Additional Notes |
|
| LLM Name | NeuralKrishna 7B V3 |
| Repository 🤗 | https://huggingface.co/Kukedlc/NeuralKrishna-7B-v3 |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2026-04-18 |
| Maintainer | Kukedlc |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to NeuralKrishna 7B V3
Best Alternatives |
Context / RAM |
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Likes |
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| ...Nemo Instruct 2407 Abliterated | 1000K / 24.5 GB | 254 | 20 |
| MegaBeam Mistral 7B 512K | 512K / 14.4 GB | 11443 | 54 |
| SpydazWeb AI HumanAI RP | 512K / 14.4 GB | 14 | 1 |
| SpydazWeb AI HumanAI 002 | 512K / 14.4 GB | 18 | 1 |
| ...daz Web AI ChatML 512K Project | 512K / 14.5 GB | 12 | 0 |
| MegaBeam Mistral 7B 300K | 282K / 14.4 GB | 3779 | 16 |
| MegaBeam Mistral 7B 300K | 282K / 14.4 GB | 7968 | 16 |
| Hebrew Mistral 7B 200K | 256K / 30 GB | 1316 | 15 |
| Astral 256K 7B V2 | 250K / 14.4 GB | 6 | 0 |
| Astral 256K 7B | 250K / 14.4 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Kukedlc/NeuralKrishna-7B-v3 .
Rank the NeuralKrishna 7B V3 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a