4bit Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2-1.5b-ins... Conversational Dataset:ajibawa-2023/code-290k... Dataset:anon8231489123/sharegp... Dataset:camel-ai Dataset:chargoddard/commitpack... Dataset:cognitivecomputations/... Dataset:collectivecognition/ch... Dataset:coseal/codeultrafeedba... Dataset:cot-alpaca-gpt4 Dataset:cybernative/code vulne... Dataset:garage-baind/open-plat... Dataset:glaiveai/glaive-code-a... Dataset:glaiveai/glaive-functi... Dataset:gpteacher Dataset:iamturun/code instruct... Dataset:ise-uiuc/magicoder-evo... Dataset:jondurbin/airoboros-2.... Dataset:layoric/tiny-codes-alp... Dataset:lmsys/lmsys-chat-1m Dataset:meta-math/metamathqa Dataset:nickrosh/evol-instruct... Dataset:open-orca/slimorca Dataset:opengpt Dataset:replete-ai/code bagel Dataset:replete-ai/code bagel ... Dataset:replete-ai/openhermes-... Dataset:teknium/gpt4-llm-clean... Dataset:teknium/openhermes-2.5 Dataset:tiger-lab/mathinstruct Dataset:unnatural-instructions... Dataset:wizardlm/wizardlm evol... Dataset:wizardlm/wizardlm evol... Endpoints compatible Instruct Model-index Pytorch Quantized Qwen2 Region:us Safetensors Unsloth
Model Card on HF 🤗: https://huggingface.co/Replete-AI/Qwen2-1.5b-Instruct-Replete-Adapted
Qwen2 1.5B Instruct Replete Adapted 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)
Qwen2 1.5B Instruct Replete Adapted Parameters and Internals
| LLM Name | Qwen2 1.5B Instruct Replete Adapted |
| Repository 🤗 | https://huggingface.co/Replete-AI/Qwen2-1.5b-Instruct-Replete-Adapted |
| Base Model(s) | |
| Model Size | 1.5b |
| Required VRAM | 3.1 GB |
| Updated | 2024-10-06 |
| Maintainer | Replete-AI |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float16 |
| Errors | replace |
Best Alternatives to Qwen2 1.5B Instruct Replete Adapted
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ....5 1.5B Instruct SMPO MLX 4bit | 32K / 0.9 GB | 17 | 2 |
| FastApply 1.5B V1.0 | 32K / 3.1 GB | 8215 | 19 |
| ....5 1.5B Instruct SMPO MLX 8bit | 32K / 1.6 GB | 13 | 2 |
| Qwen2.5 1.5B Instruct Bnb 4bit | 32K / 1.1 GB | 14039 | 1 |
| Athena 1 1.5B | 32K / 3.1 GB | 339 | 0 |
| ...5 Coder 1.5B Instruct Bnb 4bit | 32K / 1.1 GB | 3020 | 1 |
| ...024 Qwen2.5 1.5B Instruct 1106 | 32K / 3.1 GB | 89 | 0 |
| Q25 1.5B VeoLu | 32K / 3.5 GB | 0 | 8 |
| Qwen2 1.5B Instruct Bnb 4bit | 32K / 1.1 GB | 1748 | 1 |
| ...B Instruct MoE Assistant 16bit | 32K / 3.1 GB | 58 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Replete-AI/Qwen2-1.5b-Instruct-Replete-Adapted .
Rank the Qwen2 1.5B Instruct Replete Adapted Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227