Autotrain compatible Conversational Dataset:camel-ai/biology Dataset:camel-ai/chemistry Dataset:camel-ai/math Dataset:camel-ai/physics Dataset:jondurbin/airoboros-3.... Dataset:ldjnr/capybara Dataset:m-a-p/code-feedback Dataset:maziyarpanahi/wizardlm... Dataset:microsoft/orca-math-wo... Dataset:open-orca/slimorca En Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow
Neural Chat Mini V2.2 1.8B Benchmarks
ARC: 35.15 vs 96.7 (so35)-63.7%
HellaSwag: 60.06 vs 95.3 (gpt4)-37%
MMLU: 42.99 vs 88.3 (so35)-51.3%
TruthfulQA: 37.91 vs 59 (gpt4)-35.7%
WinoGrande: 60.22 vs 87.5 (gpt4)-31.2%
GSM8K: 18.65 vs 96.4 (so35)-80.7%
LLME Score: 0.2491
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)
Neural Chat Mini V2.2 1.8B Parameters and Internals
| LLM Name | Neural Chat Mini V2.2 1.8B |
| Repository 🤗 | https://huggingface.co/M4-ai/neural-chat-mini-v2.2-1.8B |
| Model Size | 1.8b |
| Required VRAM | 3.7 GB |
| Updated | 2024-10-18 |
| Maintainer | M4-ai |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen2ForCausalLM |
| License | other |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Neural Chat Mini V2.2 1.8B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Orca 2.0 Tau 1.8B | 32K / 3.7 GB | 403 | 8 |
| Sailor 1.8B Chat | 32K / 3.7 GB | 519 | 4 |
| EGTLM Qwen1.5 1.8B Instruct | 32K / 3.7 GB | 0 | 1 |
| Nusantara 1.8B Indo Chat | 8K / 3.7 GB | 145 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than M4-ai/neural-chat-mini-v2.2-1.8B .
Rank the Neural Chat Mini V2.2 1.8B Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 36966 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803