Hackernews posts about Mistral 7B

Mistral 7B is an artificial intelligence model used for generating intermediate output in Magic: The Gathering draft simulations.

1. Show HN: Beating SOTA embeddings on DeepMind's LIMIT benchmark (94% vs. 18%) (github.com)
   1 points by sangeet01 17 days ago | discuss
2. Representation Engineering: Mistral-7B on Acid (vgel.me)
   360 points by alexmolas almost 2 years ago | 65 comments
3. How we got fine-tuning Mistral-7B to not suck (helixml.substack.com)
   215 points by lewq almost 2 years ago | 47 comments
4. Show HN: NeuralFlow – Visualize the intermediate output of Mistral 7B (github.com)
   134 points by valine almost 2 years ago | 20 comments
5. Mistral-7B Playing Doom (github.com)
   48 points by tosh almost 2 years ago | 10 comments
6. Mistral 7B v0.2 (huggingface.co)
   29 points by milliondreams almost 2 years ago | 3 comments
7. Finetuning Mistral-7B to play DOOM (twitter.com)
   21 points by yamrzou almost 2 years ago | 11 comments
8. OnnxStream running TinyLlama and Mistral 7B, with CUDA support (github.com)
   17 points by Robin89 almost 2 years ago | 2 comments
9. Dot: Standalone app for local RAG with Mistral 7B (github.com)
   16 points by thunderbong almost 2 years ago | 5 comments
10. Run Mistral 7B model using less than 4GB of memory on your Mac with CoreML (huggingface.co)
    14 points by mnoorfawi over 1 year ago | discuss
11. Show HN: MiniCPM-2B Achieving Mistral-7B Performance on Snapdragon 835 SoC (github.com)
    10 points by swordfaith almost 2 years ago | 1 comments
12. Mistral-7B-v0.3 released on HuggingFace (huggingface.co)
    9 points by cuuupid over 1 year ago | discuss
13. Groq mistral-7B delivers 860T/s (groq.com)
    7 points by attentive almost 2 years ago | 1 comments
14. Dot, a free standalone app to train Mistral 7B LLM with your documents locally (dotapp.uk)
    4 points by alexpinel almost 2 years ago | 2 comments
15. Meltemi-7B: A Large Language Model for Greek Built on Top of Mistral-7B (medium.com)
    4 points by NKosmatos over 1 year ago | discuss
16. Mistral 7B v0.2 Base: 32k context window, No sliding window (twitter.com)
    4 points by tosh almost 2 years ago | discuss
17. RWKV-5 "Eagle" 7B: beats Mistral-7B at multilingual,reaches Llama2-7B at English (twitter.com)
    4 points by bratao almost 2 years ago | discuss
18. 100 tokens/s, 4-bit Mistral 7B in MLX on M2 Ultra (faster than llama.cpp) (twitter.com)
    3 points by tosh almost 2 years ago | discuss
19. Dolphin-2.8-mistral-7B-v02 (huggingface.co)
    3 points by tosh almost 2 years ago | discuss
20. Representation Engineering Mistral-7B an Acid Trip (vgel.me)
    3 points by swyx almost 2 years ago | discuss
21. Representation Engineering Mistral-7B an Acid Trip (vgel.me)
    3 points by alexmolas almost 2 years ago | discuss
22. MiniCPM: An end-side LLM achieves equivalent performance to Mistral-7B (old.reddit.com)
    2 points by swordfaith almost 2 years ago | 2 comments
23. Mistral 7B v0.2 (huggingface.co)
    2 points by milliondreams almost 2 years ago | 1 comments
24. Free standalone app to run RAG with Mistral 7B LLM (dotapp.uk)
    2 points by alexpinel almost 2 years ago | 1 comments
25. Show HN: Mistral-7B training using pyspark,DeepSpeed (github.com)
    2 points by gituser123 5 months ago | discuss
26. Fine-tune large models like Mistral-7B, Llama-2-13B, Phi-2, or Qwen-14B for free (github.com)
    2 points by lawrenceyan over 1 year ago | discuss
27. Representation Engineering Mistral-7B an Acid Trip (vgel.me)
    2 points by freeqaz over 1 year ago | discuss
28. LLaMa 3 vs. Mistral 7B: A Head-to-Head AI Showdown (medium.com)
    2 points by lijunhao over 1 year ago | discuss
29. Dolphin 2.8 Mistral 7B v0.2 (Uncensored LLM) (huggingface.co)
    2 points by ijijijjij almost 2 years ago | discuss
30. Cerebrum 7B – Mistral fine-tune created specifically for reasoning tasks (huggingface.co)
    2 points by maxutility almost 2 years ago | discuss
31. Show HN: Just Open Sourced my Medical Q&A built on Mistral7B (github.com)
    2 points by manuxp almost 2 years ago | discuss