Mistral7b V0.3 Ultrachat200k is an open-source language model by avrecum. Features: 7.2b LLM, VRAM: 14.5GB, Quantized, LLM Explorer Score: 0.13.
Chat Endpoints compatible Gguf Mistral Mistral-7b Quantized Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/avrecum/mistral7b-v0.3-ultrachat200k
Mistral7b V0.3 Ultrachat200k 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)
Mistral7b V0.3 Ultrachat200k Parameters and Internals
| Model Type |
| ||||||||||||
| Training Details |
|
| LLM Name | Mistral7b V0.3 Ultrachat200k |
| Repository 🤗 | https://huggingface.co/avrecum/mistral7b-v0.3-ultrachat200k |
| Model Size | 7.2b |
| Required VRAM | 14.5 GB |
| Updated | 2026-05-25 |
| Maintainer | avrecum |
| Model Type | mistral |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
| Model Max Length | 32768 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | [control_768] |
Best Alternatives to Mistral7b V0.3 Ultrachat200k
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| BhagavadGita | 0K / 14.5 GB | 814 | 6 |
| ThaliaBeta GGUF | 0K / 4.4 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than avrecum/mistral7b-v0.3-ultrachat200k .
Rank the Mistral7b V0.3 Ultrachat200k 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? 53999 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