Teknium · OpenHermes

OpenHermes 2.5 Mistral 7B

OpenHermes 2.5 Mistral 7B is a 7B chat and text-generation model available through supported Badgr execution routes.

Last validated or meaningfully updated: 2026-07-27

ChatLong contextFine-tunable

✓ Verified by Badgr

Last verified 2026-09-26

badgr serve teknium/OpenHermes-2.5-Mistral-7B --max-cost 1
Provider
RunPod
GPU
NVIDIA GeForce RTX 4090
Time to verified
145.6s
Deployment
dep-ab90e0ce48
  • ✓ vLLM started
  • ✓ 1-token /v1/completions request returned HTTP 200
  • ✓ final_state = VERIFIED
  • ✓ teardown completed
Raw evidence
verify_command model=teknium/OpenHermes-2.5-Mistral-7B ok=True
final_state=VERIFIED failure_class=None provider=runpod providers_tried=1 spend_usd=0.0000 elapsed=145.6s

Run from Badgr's local development environment. Documents that this deployment path works end-to-end for this model.

Availability

✓ Badgr AI API

Available through Badgr

✓ Dedicated endpoint

Available through Badgr

✓ Custom GPU deployment

Available through Badgr

Deployment profile

Architecture
MistralForCausalLM
Licence
Apache-2.0
Minimum VRAM
~18GB
Context
32K tokens

Recommended: RTX 4090 24GB. VRAM is an estimate and increases with context, cache, concurrency, and runtime overhead.

Model identity

Base model
mistralai/Mistral-7B-v0.1
Languages
en
Updated
2 years ago
HuggingFace revision
24c0bea14d

Popularity and trust

Downloads (last month)

5.7K

Likes

909

Spaces using this model

100

Files and formats

Weight formats

Safetensors, PyTorch bin

Repository files

15

Tokenizer

SentencePiece

Chat template

Available

GPU deployment scenarios

Verified by Badgr for the tier marked below; other tiers remain estimated from parameter count and quantisation.

Testing · Verified by Badgr

RTX 4090 24GB

Short context, low concurrency

Small production

L40S 48GB

8K context, 1-4 concurrent requests

Higher throughput

A100 80GB

32K context, continuous batching

Large production · Verified by Badgr

RTX 4090 24GB

Higher concurrency

Estimated — multimodal inputs, long context, and concurrency all increase real VRAM use beyond this estimate.

Also runs well on L40S 48GB, A100 40GB. Available in United States, Europe.

Serving compatibility

RuntimeStatusNotes
vLLMVerified by BadgrConfirmed by a real badgr serve run (deployment dep-ab90e0ce48)
TransformersDeclared by sourceBasic fallback
llama.cppRequires GGUF conversionNo GGUF weights found in repo
SGLangUnknownNot evaluated
TensorRT-LLMUnknownConversion may be required
TGIUnknownNot evaluated

Call this model through Badgr

curl https://aibadgr.com/v1/chat/completions \
  -H "Authorization: Bearer $BADGR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"teknium/OpenHermes-2.5-Mistral-7B","messages":[{"role":"user","content":"Hello"}]}'

Ready-to-run Badgr configurations

Quick test

badgr serve teknium/OpenHermes-2.5-Mistral-7B --max-cost 2

Validated dedicated endpoint command

badgr serve teknium/OpenHermes-2.5-Mistral-7B --gpu RTX 4090 --max-cost 10

Advanced configuration (defaults to automatic)

  • Runtime
  • Quantisation
  • GPU and GPU count
  • Context length
  • Maximum concurrency
  • Region
  • Maximum hourly spend
  • Persistent or capped runtime

Estimated pricing

Provider estimate: cold start

2–5 min

Provider estimate: endpoint cost

$0.21 – $0.44/hr

Idle cost

$0 when stopped

Per-token throughput cost is not shown here: Badgr has not benchmarked this model yet, and this page does not display figures it cannot back with real data.

Recommended Badgr routes

RTX 4090 24GB · United States

Available

from $0.21/hr

24GB VRAM/GPU16GB RAM1408.9GB storage0.02Gbps networkCUDA 13.2

Best for

ComfyUI, Batch Inference, Qwen 2.5 7B Instruct

Startup: 2–5 min

Reliability: Standard

Last checked: just now

RTX 4090 24GB · United States

Available

from $0.21/hr

24GB VRAM/GPU20 vCPU16GB RAM1400.9GB storage0.02Gbps networkCUDA 13.2

Best for

ComfyUI, Batch Inference, Qwen 2.5 7B Instruct

Startup: 2–5 min

Reliability: Standard

Last checked: just now

RTX 4090 24GB · United States

Available

from $0.38/hr

24GB VRAM/GPU128 vCPU62.9GB RAM221.75GB storage0.22Gbps networkCUDA 12.6

Best for

ComfyUI, Batch Inference, Qwen 2.5 7B Instruct

Startup: 2–5 min

Reliability: Standard

Last checked: just now

RTX 4090 24GB · United States

Available

from $0.40/hr

24GB VRAM/GPU48 vCPU41.9GB RAM438.3333333333333GB storage0.45Gbps networkCUDA 13.2

Best for

ComfyUI, Batch Inference, Qwen 2.5 7B Instruct

Startup: 2–5 min

Reliability: Standard

Last checked: just now

RTX 4090 24GB · United States

Available

from $0.40/hr

48GB VRAM/GPU64 vCPU15.7GB RAM146.975GB storage6.48Gbps networkCUDA 13.0

Best for

ComfyUI, Batch Inference, Qwen 2.5 7B Instruct

Startup: 2–5 min

Reliability: Standard

Last checked: just now

RTX 4090 24GB · United States

Available

from $0.44/hr

24GB VRAM/GPU28 vCPU62.6GB RAM737GB storage0.31Gbps networkCUDA 12.2

Best for

ComfyUI, Batch Inference, Qwen 2.5 7B Instruct

Startup: 2–5 min

Reliability: Standard

Last checked: just now

Known limitations

  • Memory use increases with context length and concurrency.

Related troubleshooting