4bit Autotrain compatible Conversational En Endpoints compatible Instruct Llama Quantized Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/abanm/model
Model 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)
Model Parameters and Internals
| LLM Name | Model |
| Repository 🤗 | https://huggingface.co/abanm/model |
| Base Model(s) | |
| Model Size | 3.8b |
| Required VRAM | 7.6 GB |
| Updated | 2025-01-21 |
| Maintainer | abanm |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.47.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|placeholder6|> |
| Vocabulary Size | 32064 |
| Torch Data Type | bfloat16 |
Best Alternatives to Model
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| DeepPhi 3.5 Mini Instruct | 128K / 7.6 GB | 5 | 0 |
| Phi 3 5 Mini 3k Each | 128K / 7.6 GB | 18 | 0 |
| ...ene Phi 3.5 Mini Instruct Orpo | 128K / 7.6 GB | 9 | 2 |
| Tara 3.8B | 146K / 7.6 GB | 12 | 0 |
| Phi3 Unlearned | 128K / 7.6 GB | 625 | 0 |
| ...hi3 Unlearning General Methode | 128K / 7.6 GB | 355 | 0 |
| Phi 3.5 Mini Instruct | 128K / 7.6 GB | 12050 | 45 |
| Superthoughts Mini V1.3.8B | 128K / 7.6 GB | 78 | 1 |
| Phi 3 5 Mini Kp 12k Cfr Sft | 128K / 7.6 GB | 14 | 0 |
| Phi 3 5 Mini Tictactoe1200 | 128K / 7.6 GB | 11 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than abanm/model .
Rank the Model Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227