Qwen2 1.5B Instruct Replete Adapted is an open-source language model by Replete-AI. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.14.
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 |
|---|---|---|---|
| Qwen2.5 Coder 1.5B NL Java | 32K / 3.1 GB | 131 | 0 |
| Legal Qwen2.5 1.5B Finetuned | 32K / 3.1 GB | 10 | 0 |
| Qwen2.5 1.5B Legal Sft | 32K / 3.1 GB | 39 | 0 |
| Qwen2.5 1.5B Legal Id Sft | 32K / 3.1 GB | 24 | 0 |
| Qwen Legal SFT Dicoding Final | 32K / 3.1 GB | 13 | 0 |
| Legal Chatbot Qwen2.5 1.5B Sft | 32K / 3.1 GB | 10 | 0 |
| Qwen2.5 1.5B Legal ID Chatbot | 32K / 3.1 GB | 54 | 0 |
| ...en2.5 1.5B Instruct Sft Merged | 32K / 3.1 GB | 0 | 1 |
| Rithaji 1.5B | 32K / 3.1 GB | 4 | 2 |
| ...n2.5 1.5B Indonesian Sft Pgabl | 32K / 3.1 GB | 23 | 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
🆘 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? 54964 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a