Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/ministral... Conversational Endpoints compatible Generated from trainer Instruct Mistral Region:us Safetensors Sft Sharded Tensorflow Trl
Model Card on HF 🤗: https://huggingface.co/RyanYr/reflect_Mini8B_nonGenCritic_Mini8bT0GtT1MstllrgT2_SftT2
Reflect Mini8B NonGenCritic Mini8bT0GtT1MstllrgT2 SftT2 Benchmarks
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)
Reflect Mini8B NonGenCritic Mini8bT0GtT1MstllrgT2 SftT2 Parameters and Internals
| LLM Name | Reflect Mini8B NonGenCritic Mini8bT0GtT1MstllrgT2 SftT2 |
| Repository 🤗 | https://huggingface.co/RyanYr/reflect_Mini8B_nonGenCritic_Mini8bT0GtT1MstllrgT2_SftT2 |
| Model Name | reflect_Mini8B_nonGenCritic_Mini8bT0GtT1MstllrgT2_SftT2 |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 16.1 GB |
| Updated | 2025-02-05 |
| Maintainer | RyanYr |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.45.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 131073 |
| Torch Data Type | bfloat16 |
Best Alternatives to Reflect Mini8B NonGenCritic Mini8bT0GtT1MstllrgT2 SftT2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Ministrations 8B V1 | 32K / 16.1 GB | 36 | 16 |
| Ministral 8B Instruct 2410 HF | 32K / 32 GB | 44 | 10 |
| Reflect Single Mini8B SftT12 | 32K / 16.1 GB | 209 | 0 |
| ...ct Mini8B MistlrgOrcl460kSftT2 | 32K / 16.1 GB | 190 | 0 |
| ...inistral8Bit Om2 Sft T2 Lr.5 6 | 32K / 16.1 GB | 673 | 1 |
| Ministral 8B Slerp | 32K / 29.2 GB | 5 | 0 |
| ...ct Mini8B MistlrgOrcl460kSftT1 | 32K / 16.1 GB | 75 | 0 |
| ...flect Mini8Bit Om2 460k Sft T1 | 32K / 16.1 GB | 181 | 0 |
| Ava 1.0 8B | 32K / 16.1 GB | 45 | 1 |
| ...ruct 2410 MetaMathQA DPO Iter1 | 32K / 16.1 GB | 387 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than RyanYr/reflect_Mini8B_nonGenCritic_Mini8bT0GtT1MstllrgT2_SftT2 .
Rank the Reflect Mini8B NonGenCritic Mini8bT0GtT1MstllrgT2 SftT2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227