Merged Model Autotrain compatible Base model:eren23/ogno-monarch... Base model:yam-peleg/experimen... Endpoints compatible Eren23/ogno-monarch-jaskier-me... Mistral Model-index Region:us Safetensors Sharded Tensorflow Yam-peleg/experiment26-7b
Yam Jom 7B Benchmarks
ARC: 73.38 vs 96.7 (so35)-24.1%
HellaSwag: 89.15 vs 95.3 (gpt4)-6.5%
MMLU: 64.51 vs 88.3 (so35)-26.9%
TruthfulQA: 78.04 vs 59 (gpt4)32.3%
WinoGrande: 84.93 vs 87.5 (gpt4)-2.9%
GSM8K: 69.6 vs 96.4 (so35)-27.8%
LLME Score: 0.19717
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)
Yam Jom 7B Parameters and Internals
| LLM Name | Yam Jom 7B |
| Repository 🤗 | https://huggingface.co/mayacinka/yam-jom-7B |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2024-10-18 |
| Maintainer | mayacinka |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Yam Jom 7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...Nemo Instruct 2407 Abliterated | 1000K / 24.5 GB | 2175 | 6 |
| MegaBeam Mistral 7B 512K | 512K / 14.4 GB | 2526 | 41 |
| ...daz Web AI ChatML 512K Project | 512K / 14.5 GB | 12 | 0 |
| MegaBeam Mistral 7B 300K | 282K / 14.4 GB | 1061 | 15 |
| Hebrew Mistral 7B 200K | 256K / 30 GB | 2677 | 15 |
| Astral 256K 7B V2 | 250K / 14.4 GB | 8 | 0 |
| Astral 256K 7B | 250K / 14.4 GB | 8 | 0 |
| Boptruth Agatha 7B | 128K / 14.4 GB | 608 | 0 |
| Buddhi 128K Chat 7B | 128K / 14.4 GB | 1301 | 15 |
| Test001 | 128K / 14.5 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than mayacinka/yam-jom-7B .
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803