dphn / text-generation updated 10 months ago

dolphin-2.9.1-yi-1.5-34b

Name: dolphin-2.9.1-yi-1.5-34b
Author: dphn

Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations

Params

34.4 B

Context

8,192

Downloads 30d

4.6 M

Likes

Commercial use: allowed apache-2.0 Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days

4.6 M4.5 M

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	bf16	68.8 GB	81.3 GB	❌ Won’t fit

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub

~ · curl · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/dolphin-2-9-1-yi-1-5-34b
{
  "hf_id": "dphn/dolphin-2.9.1-yi-1.5-34b",
  "params_b": 34.39,
  "context_length": 8192,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 4620525,
  "vram_estimates": [
    { "quant": "bf16", "gb": 81.3 }
  ],
  "updated_at": "2026-07-28T17:06:54Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: LlamaForCausalLM
Parameters: 34.4 B
Tensor type: BF16
Context length: 8,192
Vocabulary: 64,000
Layers / heads: 60 / 56
Licence: apache-2.0
First seen on the Hub: 2024-05-18
Training datasets: cognitivecomputations/Dolphin-2.9, teknium/OpenHermes-2.5, m-a-p/CodeFeedback-Filtered-Instruction, cognitivecomputations/dolphin-coder, cognitivecomputations/samantha-data, microsoft/orca-math-word-problems-200k, Locutusque/function-calling-chatml, internlm/Agent-FLAN
Added to our catalog: 2026-07-28

Compare with

Qwen3.6-35B-A3B-NVFP4 11.3 M gpt-oss-20b 8.6 M Qwen3-32B 8.3 M OTel-2.0-LLM-31B-IT 3.3 M Qwen3-30B-A3B 3.1 M GLM-4.7-Flash 2.1 M

Appears in

Best open coding models Commercial-use text models Models that fit in 12 GB